최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
DataON 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
Edison 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
Kafe 바로가기국가/구분 | United States(US) Patent 등록 |
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국제특허분류(IPC7판) |
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출원번호 | US-0739097 (2007-04-24) |
등록번호 | US-9237543 (2016-01-12) |
발명자 / 주소 |
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출원인 / 주소 |
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대리인 / 주소 |
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인용정보 | 피인용 횟수 : 1 인용 특허 : 580 |
A wireless location system is disclosed. Locations of mobile stations (MS) may be determined using one or more MS locating technologies based on, e.g.: computed offsets from terrestrial base stations; satellite transmissions; indoor antennas; low range base stations; and in particular, signal patter
A wireless location system is disclosed. Locations of mobile stations (MS) may be determined using one or more MS locating technologies based on, e.g.: computed offsets from terrestrial base stations; satellite transmissions; indoor antennas; low range base stations; and in particular, signal pattern recognition for associating wireless signal characteristics with distinct geographic locations. The system can: adapt and/or calibrate its performance with environmental and geographical changes; capture location signal data for enhancement of a self-maintaining database of predictive location signal data; evaluate MS locations using heuristics and constraints related to terrain, MS velocity and path extrapolation; and adjust MS locations adaptively and/or statistically for providing more reliable and accurate locations. The system can be configured for environments ranging from dense urban, urban, suburban, rural, mountain to low traffic or isolated roadways. The system is useful for 911 emergencies, tracking, routing (e.g., to desired products/services), people and animal location including applications for confinement to and exclusion from certain areas.
1. A method for estimating, for a mobile unit M of a plurality of mobile units that wirelessly communicate with a network providing wireless communication with the mobile units, a geographical location, L, of the mobile unit M using an instance, I, of wireless location related data, the wireless loc
1. A method for estimating, for a mobile unit M of a plurality of mobile units that wirelessly communicate with a network providing wireless communication with the mobile units, a geographical location, L, of the mobile unit M using an instance, I, of wireless location related data, the wireless location related data obtained from measurements of wireless signals communicated between the mobile unit M and at least some of a plurality of communication devices, wherein each of said communication devices has one or more of a transmitter and a receiver for wireless communication with the mobile unit M, comprising performing the following by computational machinery: obtaining location data for the mobile unit M, wherein the location data includes one or more location estimates of the geographical location L of the mobile unit M, and wherein for determining at least one of the location estimates, (A1)-(A3) following are accessed:(A1) a non-transient machine data storage having data for a plurality of data sets, wherein, for each geographical location, G, of a plurality geographical locations, there is one of the data sets having (i) and (ii) following: (i) a representation of the geographical location G, and(ii) wireless signal transmission related information indicative of a wireless signal transmitted from one of a first location and a second location, and received at the other of the first and second locations; wherein the wireless signal transmission related information includes data indicative of one or more wireless signal effects of one or more objects along a wireless transmission path of the wireless signal, wherein the objects affect the wireless signal prior to being received at the other location, and wherein the geographical location G designates one of the first and second locations;(A2) a similarity determining computational machine that determines location related information for locating the mobile unit M, the location related information dependent upon and determined using a similarity or extent of similarity, between: (i) instances of the wireless signal transmission related information, and (ii) data for an instance of the wireless location related data for a location of the mobile unit M;wherein the similarity or extent of similarity, is provided by the similarity determining computational machine;wherein the location related information is also dependent upon the similarity determining computational machine using the representations of the geographical locations G of the data sets having the instances of the wireless signal transmission related information, the instances used in determining the similarity or extent of similarity;wherein first location related data for the location L is obtained, the first location related data dependent on and determined using an instance, K, of the location related information, wherein the instance K is obtained from the similarity determining computational machine when data, D, indicative of the instance I of the wireless location related data, is input to the similarity determining computational machine, the data D for instantiating at least part of the data of (A2)(ii) above;wherein the first location related data includes a value determined using a machine computed discrepancy or consistency between: (1) the instance I of the wireless location related data, and (2) at least one of (2-1) and (2-2) following: (2-1) instances, J, of the instances of the wireless signal transmission related information used in determining the instance K of the location related information, and (2-2) location indicative data derived from the instances J;(A3) second location related data including data for at least one of (a) and (b) following: (a) a change between: a spatial position, of the mobile unit M, and a previous spatial position of the mobile unit M; wherein the change is determined independently of wireless signal measurements, WSM, that are both: (a-1) communicated between the mobile unit M and any one or more of the communication devices, and (a-2) used for computing an estimate of the location L of the mobile unit M; and(b) one or more corresponding location estimates of the mobile unit M, wherein one of the corresponding location estimates is determined using signal related data obtained from a wireless signal transmission, ST, received by the mobile unit M, the transmission ST from one of the communication devices which is not supported on the Earth's surface, the signal related data providing signal timing information;wherein the obtaining further includes determining the at least one location estimate using and dependent upon at least one of the first location related data and the second location related data; andoutputting resulting information related to the geographical L location of the mobile unit M, wherein said resulting information is obtained using said location data. 2. The method of claim 1, wherein the similarity or extent of similarity includes one of: a confidence and an error value indicative of a correspondence between: (1) the instance I of the wireless location related data, and (2) the instances J. 3. The method of claim 1, further including performing, by a specifically configured computational machine of the computational machinery, determining a confidence for the at least one location estimate of the location data, wherein the confidence is indicative of a likelihood of the mobile unit M being at the at least one location estimate. 4. The method of claim 3, wherein the confidence is determined by machine instructions that access and use the discrepancy or consistency for determining the confidence. 5. The method of claim 1, further including adjusting, by machine instructions, a confidence, C, for a location estimation of the mobile unit M, wherein for the adjusting of the confidence C, the machine instructions perform a determination as to how closely the location estimation corresponds to an extrapolated location estimate of the mobile unit M; wherein the location estimation is determined by the computational machinery computing a coordinate for the location estimation using the instance I. 6. The method of claim 1, further including adjusting a confidence, C, for a location estimation of the mobile unit M, wherein for the adjusting of the confidence C, a determination is made as to how closely the location estimation matches a predetermined route; wherein the location estimation is determined by the computational machinery computing a coordinate for the location estimation using the instance I. 7. The method of claim 1, further including adjusting a confidence, C, for a location estimation of the mobile unit M, wherein for the adjusting of the confidence C, a determination is made as to how closely the location estimation corresponds to a different estimate for locating the mobile unit M; wherein the location estimation is determined by the computational machinery computing a coordinate for the location estimation using the instance I. 8. The method of claim 1, further including performing, by a specifically configured computational machine of the computational machinery, adjusting a confidence, C, for a location estimation of the mobile unit M, wherein for the adjusting of the confidence C, a determination is made as to how likely an estimated velocity of the mobile M is for a geographical area having the location estimation; wherein the location estimation is determined by the computational machinery by computing a coordinate for the location estimation using the instance I. 9. The method of claim 1, wherein the outputting includes outputting, from a first computational machine component operative for determining the resulting information from the location data, the resulting information for presentation on a computational machine display, the resulting information including a presentation of the at least one location estimate on the display, the presentation representing a geographical area for the at least one location estimate, wherein colors are provided on the display such that for portions of the representation corresponding to different parts of the geographical area, different ones of the colors are displayed, wherein, for each color, C, of at least two of the different colors, the color C represents a different corresponding likelihood of the mobile unit M being located in the respective corresponding part of the geographical area represented by the color C. 10. The method of claim 1, wherein the determining the at least one location estimate includes combining location data from each of the first location related data and the second location related data. 11. The method of claim 10, wherein the combining includes using the change between the spatial position, of the mobile unit M, and the previous spatial position of the mobile unit M for performing machine instructions to adjust a previously obtained location of the mobile unit M. 12. The method of claim 1, wherein the second location related data includes a location estimate, EST, of the mobile unit M, wherein the location estimate EST is determined by the computational machinery using a location of one of the communication devices fixedly attached to the Earth. 13. The method of claim 1, wherein the determining the at least one location estimate includes performing machine instructions to prefer geolocation related data from one of the first location related data and the second location related data over geolocation related data of the other of the first location related data and the second location related data. 14. The method of claim 13, wherein the performing includes determining an acceptability of use of at least one of the first location related data and the second location related data for contributing to determining the resulting information; wherein the determining the acceptability of use includes comparing data indicative of an accuracy or reliability for the at least one of the first location related data and the second location related data with corresponding threshold data. 15. The method of claim 1, wherein the first location related data includes a first location estimate, E, of the mobile unit M, and further including performing machine instructions to determine data, F, indicative of an adjustment or consistency of the first location estimate E, the data F determined by accessing data indicative of a predetermined pathway for the mobile units; and using the data F to determine the at least one location estimate of the mobile unit M. 16. The method of claim 15, wherein the performing includes changing a value for a likelihood that the mobile unit M is located correctly. 17. The method of claim 1, further including obtaining one or more wireless signal strengths for mobile unit M wireless communications with the communication devices, wherein the first location related data and the at least one location estimate are determined by the computational machinery using the wireless signal strengths for determining a range of the mobile unit M from one or more of the communication devices. 18. The method of claim 1, wherein the obtaining includes performing, by a specifically configured computational machine of the computational machinery, an interpolation or an extrapolation of geographic data (GD) using the data for the plurality of data sets, wherein the geographic data GD includes a location estimate of the mobile unit M. 19. The method of claim 18, wherein the geographic data GD is used to determine the discrepancy or consistency. 20. The method of claim 1, further including performing, by a specifically configured computational machine of the computational machinery, a determination of the one or more corresponding location estimates of the mobile unit M using the signal related data, wherein the second location related data includes data for the corresponding location estimates. 21. The method of claim 20, further including, for at least one location of the mobile unit M, performing, by a specifically configured computational machine of the computational machinery, an obtaining an instance of the second location related data by combining the corresponding location estimates with the change between the spatial position, of the mobile unit M, and the previous spatial position of the mobile unit M. 22. The method of claim 1, wherein the one communication device is a satellite. 23. The method of claim 1, further including performing, by a specifically configured computational machine of the computational machinery, an obtaining a timestamp for the at least one location estimate, and obtaining the second location related data from a deadreckoning machine process dependent upon an output from a mobile unit M resident component that measures the change between the spatial position of the mobile unit M, and the previous spatial position of the mobile unit M. 24. The method of claim 1, further including performing, by a specifically configured computational machine of the computational machinery: obtaining a first location estimate (E) of the mobile unit M, wherein the first location estimate E is dependent upon, or included in, the first location related data; andobtaining another location estimate for estimating a geographical location of the mobile unit M, wherein the another location estimate is dependent upon a performance by the computational machinery of a triangulation or trilateration using wireless signal time delays. 25. The method of claim 24, further including performing, by the specifically configured computational machine, a combining of the first location estimate E with the another location estimate in obtaining the at least one location estimate of the mobile unit M. 26. The method of claim 24, further including performing, by the specifically configured computational machine, giving a preference to one of the first location estimate E and the another location estimate for obtaining the at least one location estimate of the mobile unit M. 27. The method of claim 24, wherein the determining the at least one location estimate includes selecting or giving a preference to one of: (1) the first location estimate E, and (2) the another location estimate wherein the signal time delays are obtained from location related wireless signal transmissions received by M, the location related wireless signal transmissions from at least one non-terrestrial one of the communication devices, the at least one non-terrestrial one communication device not supported on the Earth's surface. 28. The method of claim 1, wherein a mobile unit M location estimate, of the instance K of the location related information, is included in the first location related data. 29. The method of claim 1, wherein the determining the at least one location estimate includes: obtaining a first location estimate (E) of the mobile unit M, wherein the first location estimate E is dependent upon, or included in the first location related data; andadjusting the first location estimate E according to the second location related data. 30. The method of claim 1, further including for at least one the mobile units, N, for wirelessly communicating with the network, performing, by a specifically configured computational machine of the computational machinery, a determination of a corresponding location estimate of the mobile unit N, for providing to a destination via a network transmission, wherein the corresponding location estimate of the mobile unit N is determined using a requested accuracy according to a network request received for providing the corresponding location estimate of the mobile unit N to the destination. 31. The method of claim 1, further including performing, by a specifically configured computational machine of the computational machinery, obtaining location indicative information (LII) for the mobile unit M at at least one location, wherein the location indicative information LII is dependent upon location data (LD) obtained from satellite signals, the location data LD related to timing data provided by the satellite signals. 32. The method of claim 31, further including, for the at least one location of the mobile unit M, performing, by the specifically configured computational machine, a determination of a further location estimate dependent upon and determined using both the location indicative information LII, and the at least one location estimate; wherein the location indicative information LII is determined by the computational machinery using a corresponding instance of the location related information for the at least one location, wherein an activation of the similarity determining computational machine provides the corresponding instance of the location related information for the at least one location, and the corresponding instance of the location related information dependent upon and determined using a further similarity or further extent of similarity, between: (i) instances of the wireless signal transmission related information, and (ii) an additional instance of the wireless location related data obtained from signal measurements of wireless communication with the mobile unit M at the at least one location;wherein the further similarity or further extent of similarity, is computed by the similarity determining computational machine. 33. The method of claim 1, wherein the discrepancy or consistency includes an error indicative of an extent of similarity between: (1) the instance I of the wireless location related data, and (2) at least one of (2-1) and (2-2) following: (2-1) the instances J of the wireless signal transmission related information used in determining the instance K of the location related information, and (2-2) the location indicative data derived from the instances J. 34. The method of claim 1, wherein the mobile unit M determines data indicative of a direction of movement of the mobile unit M, and further including transmitting the data indicative of the direction to a network site for determining the resulting information. 35. The method of claim 1, wherein the similarity or extent of similarity is indicative of wireless signal effects of one or more objects along a wireless transmission path of a wireless signal for wireless communication between the mobile unit M at the location L and one of the communication devices. 36. The method of claim 1, wherein the similarity or extent of similarity is indicative of wireless signal effects of one or more objects along the wireless transmission path, wherein the mobile unit M is located at one of the first and second locations, and one of the communications devices is located at the other of the first and second locations. 37. The method of claim 1, wherein the second location related data includes the change between the spatial position, of the mobile unit M, and the previous spatial position of the mobile unit M. 38. The method of claim 1, wherein the second location related data includes data indicative of a change between a direction of movement of the mobile unit M and a previous direction of movement of the mobile unit M. 39. The method of claim 1, wherein the resulting information is dependent upon and determined by the computational machinery computing time delay information for wireless communication between the mobile unit M and one of the communication devices, wherein the one communication device is fixed at a terrestrial location. 40. The method of claim 1, wherein the determining the at least one location estimate includes determining an acceptability of use of at least one of the first location related data and the second location related data for contributing to the at least one location estimate, wherein the determining the acceptability of use includes comparing one of: confidence or error data for the at least one of the first location related data and the second location related data with threshold data for identifying the acceptability of use. 41. The method of claim 1, wherein the first location related data includes: a location estimate (LE) of the mobile unit M, and a confidence value of the location estimate LE. 42. The method of claim 1, wherein the first location related data is obtained after the second location related data. 43. The method of claim 1, wherein the similarity determining computational machine includes an adaptive pattern recognition or adaptive pattern matching computational component. 44. The method of claim 1, further including performing, by a specifically configured computational machine of the computational machinery, obtaining a timestamp for the at least one location estimate, and obtaining the second location related data from a deadreckoning process dependent upon and determined using an output from a mobile unit M resident component that measures a change between a direction of movement of the mobile unit M and a previous direction of movement of the mobile unit M. 45. A method for estimating, for a mobile unit M of a plurality of mobile units that wirelessly communicate with a network providing wireless communication with the mobile units, a geographical location, L, of the mobile unit M using an instance, I, of wireless location related data, the wireless location related data obtained using measurements of wireless signals communicated between the mobile unit M and at least some of a plurality of communication devices, wherein each of said communication devices has one or more of a transmitter and a receiver for wireless communication with the mobile unit M, comprising performing the following by computational machinery: accessing a non-transient machine data storage having a plurality of data sets, wherein, for each geographical location, G, for a plurality geographical locations, there is one of the data sets having (i) and (ii) following:(i) a representation of the geographical location G, and(ii) wireless signal transmission related information indicative of a wireless signal transmitted from one of a first location and a second location and received at the other of the first and second locations, wherein the wireless signal transmission related information includes data indicative of one or more wireless signal effects of one or more objects along a wireless transmission path of the wireless signal, and wherein the geographical location G designates one of the first and second locations;wherein there is a similarity determining computational machine for determining location related information for locating the mobile unit M, the location related information dependent upon and determined according to a similarity or extent of similarity, between (a) and (b) following: (a) data for an instance of the wireless location related data for a location of the mobile unit M, and(b) instances of the wireless signal transmission related information of the non-transient data storage;wherein the similarity or extent of similarity, is provided by the similarity determining computational machine;wherein the location related information is also dependent upon the similarity determining computational machine using the representations of the geographical locations G of the data sets having the instances of the wireless signal transmission related information, the instances used in determining the similarity or extent of similarity;determining first location related data for the mobile unit M, wherein the first location related data is dependent on and determined using an instance, K, of the location related information, and wherein the instance K is obtained from the similarity determining computational machine when data, D, indicative of the instance I of the wireless location related data, is input to the similarity determining computational machine, the data D for instantiating at least part of the data of (a) above;wherein the first location related data includes correspondence data indicating an extent of correspondence, or lack thereof, between: (1) the instance I of the wireless location related data, and (2) at least one of (2-1) and (2-2) following: (2-1) the instances, J, of the instances of the wireless signal transmission related information used in determining the instance K of the location related information, and(2-2) location indicative data derived from the instances J;obtaining a location estimate, LE, of the mobile unit M, the location estimate LE dependent upon and determined using a machine determined preference or selection of one of: the first location related data, or second location related data;wherein the second location related data is dependent upon and determined by the computational machinery computing at least one of (c) and (d) following: (c) a measurement, T, of a transition between a first spatial position of the mobile unit M and a previous spatial position of the mobile unit M, wherein the measurement T is dependent upon an output from a mobile unit M resident component that measures a characteristic of mobile unit M movement; and(d) one or more corresponding location estimates of the mobile unit M, wherein at least one of the corresponding location estimates is determined using signal related data obtained from a wireless signal transmission ST, received by M, the transmission ST from one of the communication devices which is not supported on the Earth's surface, the signal related data providing signal timing information. 46. The method of claim 45, further including performing, by machine instructions of a computational machine of the computational machinery, a determination of the correspondence data which includes one of: a confidence and an error value indicative of a correspondence between: (1) the instance I of the wireless location related data, and (2) the instances J. 47. The method of claim 45 further including performing, by machine instructions of a computational machine of the computational machinery, a determination of a confidence for the location estimate LE, wherein the confidence is indicative of a likelihood of the mobile unit M being at the location estimate LE. 48. The method of claim 47, wherein the confidence is dependent upon and determined by the computational machinery computing a discrepancy or consistency between: (1) the instance I, and (2) at least one of (2-1) and (2-2) following: (2-1) the instances J of the wireless signal transmission related information used in determining the instance K of the location related information, and (2-2) location indicative data derived from the instances J. 49. The method of claim 45, further including performing, by machine instructions of a computational machine of the computational machinery, an adjusting of a confidence, C, for a location estimation of the mobile unit M, wherein for the adjusting of the confidence C, a determination is made as to how closely the location estimation corresponds to an extrapolated location estimate of the mobile unit M; wherein the location estimation is dependent upon and determined by the computational machinery using the instance I. 50. The method of claim 45, further including performing, by machine instructions of a computational machine of the computational machinery, an adjusting of a confidence, C, for a location estimation of the mobile unit M, wherein for the adjusting of the confidence C, a determination is made as to how closely the location estimation matches a predetermined route; wherein the location estimation is dependent upon and determined by the computational machinery using the instance I. 51. The method of claim 45, further including performing, by machine instructions of a computational machine of the computational machinery, an adjustment of a confidence, C, for a location estimation of the mobile unit M, wherein for the adjustment of the confidence C, a determination is made as to how closely the location estimation corresponds to a different estimate for locating the mobile M; wherein the location estimation is dependent upon and determined by the computational machinery using the instance I. 52. The method of claim 45, further including performing, by machine instructions of a computational machine of the computational machinery, an adjustment of a confidence, C, for a location estimation of the mobile unit M, wherein, for the adjustment of the confidence C, a determination is made as to how likely an estimated velocity of the mobile M is for a geographical area having the location estimation; wherein the location estimation is dependent upon and determined by the computational machinery using the instance I. 53. The method of claim 45, further including performing, by machine instructions of a computational machine of the computational machinery, providing resulting information, dependent upon the location estimate LE, for presentation on a computational machine display, the resulting information including a presentation of the location estimate LE on the display, the presentation representing a geographical area for the location estimate LE, wherein colors are provided on the display such that for portions of the representation corresponding to different parts of the geographical area, different ones of the colors are displayed, wherein, for each color, C, of at least two of the different colors, the color C represents a different corresponding likelihood of the mobile unit M being located in the respective corresponding part of the geographical area represented by the color C. 54. The method of claim 45, wherein the obtaining the location estimate LE includes combining location data from each of the first location related data and the second location related data. 55. The method of claim 54, wherein the combining includes adjusting a previously obtained location of the mobile unit M using data for the measurement T. 56. The method of claim 45, wherein the second location related data includes data indicative of a time series of directions of movement of the mobile unit M, wherein the second location related data is determined independently of the measurements of the wireless signals used for estimating the location L of the mobile unit M. 57. The method of claim 45, wherein the second location related data includes a location estimate, EST, of the mobile unit M, wherein the location estimate EST is dependent upon and determined by a component of the computational machinery that accesses data indicative of a location of one of the communication devices fixedly attached to the Earth; wherein the component uses the data indicative of the location of the one communication device to perform one of: a triangulation, a trilateration, a multilateration, a least squares, a principle decomposition process or a statistical regression process. 58. The method of claim 45, wherein the obtaining the location estimate LE includes preferring location data from one of the first location related data and the second location related data over location data of the other of the first location related data and the second location related data. 59. The method of claim 58, wherein the preferring includes determining an acceptability of use of at least one of the first location related data and the second location related data for use in contributing to determining the location estimate LE. 60. The method of claim 45, wherein the first location related data includes a first location estimate, E, of the mobile unit M, and further including performing, by machine instructions of a computational machine of the computational machinery, a determination of data, F, indicative of an adjustment or consistency of the first location estimate E with a predetermined pathway, the data F determined by accessing a machine data repository having data indicative of the predetermined pathway for the mobile units; and using the data F to determine the location estimate LE of the mobile unit M. 61. The method of claim 60, wherein the determination of the data F includes changing a value for a likelihood that the mobile unit M is located correctly. 62. The method of claim 45, further including performing, by machine instructions of a computational machine of the computational machinery, obtaining one or more wireless signal strengths for mobile unit M wireless communications with the communication devices, wherein the location estimate LE is dependent upon the wireless signal strengths. 63. The method of claim 45, wherein the obtaining includes interpolating or extrapolating, from the data for the plurality of data sets, geographic data (GD), wherein the geographic data GD is used to determine the correspondence data. 64. The method of claim 45, further including performing, by machine instructions of a computational machine of the computational machinery, a determination of the one or more corresponding location estimates of the mobile unit M using the signal related data, wherein the second location related data includes data for the corresponding location estimates. 65. The method of claim 64, further including, for at least one location of the mobile unit M, performing, by machine instructions of a computational machine of the computational machinery, an obtaining an instance of the second location related data by combining the corresponding location estimates with data indicative of a change between the first spatial position and the previous spatial position of the mobile unit M. 66. The method of claim 45, wherein the one communication device is a satellite. 67. The method of claim 45, wherein the determining the first location related data includes determining a consistency or discrepancy between (1) data for a movement characteristic for the mobile unit M, and (2) second data for the movement characteristic, the second data obtained using one or more of: (i) data indicative of a movement of other mobile units of the plurality of mobile units, and (ii) data indicative of a constraint on, or preference for, one or more values for the movement characteristic. 68. The method of claim 67, wherein the movement characteristic includes a velocity, and the determining the consistency or discrepancy includes determining a velocity of the mobile unit M and a velocity of the other mobile units of the plurality of mobile units. 69. The method of claim 45, wherein the determining the first location related data includes determining a change in velocity of the mobile unit M. 70. The method of claim 45, wherein the location estimate LE is determined using an output from the mobile unit M, wherein to obtain the output, the mobile unit M performs determining (1) a direction of movement of the mobile unit M, and (2) whether movement of the mobile unit M corresponds to a predetermined mobile unit pathway. 71. The method of claim 45, wherein the location estimate LE is dependent upon data obtained from determining a change in velocity of the mobile unit M, the determining the change in velocity being performed by machine instructions of a computational machine of the computational machinery. 72. The method of claim 45, wherein the determining the first location related data includes determining a location estimate of the mobile unit M using information identifying that the mobile unit M is within a wireless signal coverage area for one of the communication devices, wherein the mobile unit M detects a wireless transmission from the one communication device, and wherein the one communication is supported on the Earth. 73. The method of claim 45, wherein the first location related data includes first data indicative of a likelihood of the mobile unit M being at a first location estimate, and the second location related data includes second data indicative of a likelihood of the mobile unit M being at a second location estimate, and the obtaining the location estimate LE includes determining the location estimate LE by: (i) giving a preference to the first location estimate over the second location estimate when the first data indicates that the mobile unit M is more likely to be at the first location estimate than at the second location estimate, and (ii) giving a preference to the second location estimate over the first location estimate when the second data indicates that the mobile unit M is more likely to be at the second location estimate than at the first location estimate. 74. The method of claim 45, wherein the mobile unit M resident component includes a gyroscope. 75. The method of claim 45, wherein the mobile unit M resident component includes an accelerometer. 76. The method of claim 45, wherein the machine determined preference or selection of the first location related data, or second location related data includes determining an acceptability of use of at least one of the first location related data and the second location related data for contributing to the location estimate LE being different from a previous location estimate of mobile unit M. 77. The method of claim 76, wherein the determining the acceptability of use includes performing machine instructions for comparing one of confidence or error data for the at least one of the first location related data, and the second location related data with threshold data for identifying the acceptability of use. 78. The method of claim 45, wherein the first location related data is dependent upon and determined using data indicative of wireless signal effects of one or more objects along a wireless transmission path of a wireless signal for wireless communication between the mobile unit M at the location L, and one of the plurality of the communication devices. 79. The method of claim 45, wherein for a geographical location, GL, of the plurality of geographical locations, the wireless signal, of (ii) of the corresponding data set in which the geographical location GL becomes the geographical location G in (i) of the corresponding data set, is: (A) transmitted from one of: the first location (FL) for the corresponding data set, and the second location (SL) for the corresponding data set, and(B) subsequently received at the other of the first location FL and the second location SL,wherein there is one of the mobile units located at one of the first location FL, and the second location SL, and one of the communications devices is located at the other of the first location FL, and the second location SL. 80. The method of claim 45, further including the computational machinery performing determining one or more additional location estimates of the mobile unit M, wherein at least one of the additional location estimates is determined using location related wireless signal transmissions received by the mobile unit M, the transmissions from at least one non-terrestrial wireless transmitter not supported on the Earth's surface; wherein the one or more additional location estimates precede the obtaining of the location estimate LE, and are used in determining the location estimate LE. 81. The method of claim 80, wherein an instance of the second location related data is combined with the at least one additional location estimate for obtaining of the location estimate LE. 82. The method of claim 45, wherein the second location related data is dependent upon and determined using the measurement T. 83. The method of claim 45, wherein the second location related data is dependent upon and determined using the one or more corresponding location estimates of the mobile unit M. 84. The method of claim 45, further including performing, by machine instructions of a component of the computational machinery, an adjustment of at least one confidence value for at least one location estimate of the mobile unit M, wherein at least two of the following factors are used in the adjustment of the at least one confidence value: (a) how closely the at least one location estimate matches a predetermined route, (b) how likely an estimated velocity of the mobile M is for a geographical area having the at least one location estimate; (c) how closely the at least one location estimate corresponds to a different estimate for locating the mobile M; and (d) how closely the at least one location estimate corresponds to an extrapolated location estimate of the mobile unit M. 85. A system for estimating, for each mobile unit M of a plurality of mobile units that wirelessly communicate with a network providing wireless communication with the mobile units, a geographical location, L of the mobile unit M using location related data obtained via measurements of wireless communication between the mobile unit M and a plurality of communication devices, wherein each of said communication devices has one or more of a transmitter and a receiver for wirelessly communicating with the mobile unit M, comprising the following computational machinery: a non-transient data storage, one or more wireless location estimators, and one or more programmed machine components, wherein: (A) the non-transient data storage having data for a plurality of data associations, wherein, for each geographical location, G, of a plurality geographical locations, there is one of the data associations having (i) and (ii) following: (i) a representation of the geographical location G, and(ii) wireless signal transmission information for one or more wireless signals transmitted from one of a first location and a second location and received at the other of the first and second locations, wherein the wireless signal transmission information includes data indicative of one or more wireless signal effects of one or more physical objects along a wireless transmission path of the wireless signals, and wherein the geographical location G designates one of the first and second locations;(B) the one or more wireless location estimators for determining (a) and (b) following: (a) first location related data for locating the mobile unit M, wherein the first location related data is dependent on an output from a similarity determining computational machine when data, D, indicative of the location related data, is input to the similarity determining computational machine; wherein the similarity determining computational machine determines the output according to a similarity or extent of similarity, between (a-1) and (a-2) following: (a-1) the location related data, and(a-2) instances of the wireless signal transmission related information;wherein the output includes a geolocation estimate of the mobile unit M, and the geolocation estimate is determined by the similarity determining computational machine accessing and using the representations of the geographical locations G of the data associations having the instances used in determining the similarity or extent of similarity;wherein the first location related data has a value dependent upon a measurement of a discrepancy or consistency between (a-1) and (a-2) above;(b) second location related data for locating the mobile unit M, the second location related data dependent upon and determined by performing machine instructions that access and use at least one of (b-1) and (b-2) following to generate the additional location related data therefrom: (b-1) a measurement of a transition between a first spatial positioning of the mobile unit M and a previous spatial positioning of the mobile unit M; and(b-2) one or more corresponding location estimates of the mobile unit M, wherein at least one of the corresponding location estimates is determined using signal related data obtained from a wireless signal transmission received by the mobile unit M, the transmission from one of the communication devices which is not supported on the Earth's surface, the signal related data providing signal timing information; and(C) the one or more programmed machine components determine a resulting location estimate of the mobile unit M using at least one of the second location related data and the first location related data. 86. The system of claim 85, wherein the first location related data includes a first location estimate of the mobile unit M, and wherein the programmed machine components determine data indicative of an adjustment or consistency of the first location estimate with a previously a determined mobile unit M location estimate, the data indicative of the adjustment or consistency used in determining the resulting location estimate of the mobile unit M. 87. The system of claim 85, wherein the programmed machine components access: (i) first data indicative of a likelihood of the mobile unit M being at a first location estimate, and (ii) second data indicative of a likelihood of the mobile unit M being at a second location estimate; wherein the programmed machine components: (i) give a preference to the first location estimate over the second location estimate when the first data indicates that the mobile unit M is more likely to be at the first location estimate than at the second location estimate, and (ii) give a preference to the second location estimate over the first location estimate when the second data indicates that the mobile unit M is more likely to be at the second location estimate than at the first location estimate. 88. The system of claim 85, wherein for a mobile unit M location estimate LE, of the first location related data, the programmed machine components geographically adjust the location estimate LE by geographic related data representing the measurement of the transition, thereby obtaining an adjusted location estimate, the geographic related data included in the second location related data; wherein the adjusted location estimate is used by the programmed machine components in obtaining the resulting location estimate. 89. The system of claim 85, wherein for a mobile unit M location estimate, LE of the second location related data, the programmed machine components geographically adjust the location estimate LE by geographic related data representing the measurement of the transition, thereby obtaining an adjusted location estimate, and the second location related data is dependent upon and determined using the one or more corresponding location estimates of (b-2); wherein the adjusted location estimate is used by the programmed machine components in obtaining the resulting location estimate. 90. The system of claim 85, wherein for a mobile unit M location estimate, LE of the corresponding estimates, the programmed machine components geographically adjust the location estimate LE by geographic related data, GD, representing the measurement of the transition, thereby obtaining an adjusted location estimate, the geographic related data GD provided by the second location related data; wherein the adjusted location estimate is used by the programmed machine components in obtaining the resulting location estimate. 91. The system of claim 85, wherein the second location related data is independently determined from the first location related data for estimating the location L of the mobile unit M. 92. The system of claim 85, wherein the one communication device is a satellite. 93. The system of claim 85, wherein the programmed machine components include one or more combiner components that combine data indicative of the measurement of the transition with at least one of the corresponding location estimates in determining the resulting location estimate. 94. The system of claim 85, wherein the second location related data is determined independently of the location related data used for estimating the location L of the mobile unit M. 95. The system of claim 85, wherein the second location related data is dependent upon the measurement of the transition. 96. The system of claim 85, wherein the second location related data is dependent upon, and determined by the programmatic instructions using, the one or more corresponding location estimates of the mobile unit M. 97. A system for estimating a geographical location of each mobile unit, M, of a plurality of mobile units that wirelessly communicate with a network providing wireless communication, the geographical location estimated using location related data obtained according to measurements of wireless communication between the mobile unit M and a plurality of communication devices, wherein each of said communication devices has one or more of a transmitter and a receiver for wirelessly communicating with the mobile unit M, comprising the following computational machinery: a non-transient data storage, a similarity determining computational machine, and one or more location estimating components, wherein: (A) the non-transient data storage includes data for a plurality of data sets, wherein, for each geographical location, G, of a plurality geographical locations, there is one of the data sets providing (i) and (ii) following: (i) a representation of the geographical location G, and(ii) wireless signal transmission information indicative of one or more wireless signals transmitted from one of a first location and a second location and received at the other of the first and second locations; wherein the wireless signal transmission information includes data indicative of one or more wireless signal effects of one or more physical objects along a wireless transmission path of the wireless signals, and wherein the geographical location G designates one of the first and second locations;(B) the one or more location estimating components operate according to software instructions to receive (a) and (b) following: (a) first location related data for locating the mobile unit M, wherein the first location related data is dependent on an output from the similarity determining computational machine, when data, D, is input to the similarity determining computational machine; wherein the data D is obtained from the location related data for wireless communication between the mobile unit M, and a set of the communication devices;wherein, when the similarity determining computational machine is used to determine the output for locating the mobile unit M, the output is dependent upon and determined according to a similarity or extent of similarity, between: (a-1) and (a-2) following: (a-1) the location related data, and(a-2) instances of the wireless signal transmission related information;wherein the output includes a geolocation estimate of the mobile unit M, and the geolocation estimate is determined by the similarity determining computational machine accessing and using the representations of the geographical locations G of the data sets having the instances used in determining the similarity or extent of similarity;wherein the output includes geographic data related to the geographical location of the mobile unit M;(b) additional location related data for locating the mobile unit M, the additional location related data dependent upon, and determined by performing machine instructions that access at least one of (b-1) and (b-2) following and generate the additional location related data therefrom: (b-1) a difference in a spatial position of the mobile unit M relative to a previous spatial position thereof; and(b-2) signal related data obtained from a wireless signal transmission received by the mobile unit M, the transmission from one of the communication devices which is not supported on the Earth's surface, the signal related data providing signal timing information;wherein the location estimating components determine a resulting location estimate of the mobile unit M using at least one of the additional location related data, and the first location related data;wherein a value indicative of an acceptability of use of at least one of the first location related data and the additional location related data is obtained and used by the location estimating components for determining the resulting location estimate. 98. The system of claim 97, wherein for determining the acceptability of use, the location estimating components compare data indicative of an accuracy or reliability, for the at least one of the first location related data and the additional location related data, with corresponding acceptability data, wherein the corresponding acceptability data is for identifying whether the at least one of the first location related data and the additional location related data is acceptable for use in determining the resulting location estimate. 99. The system of claim 98, wherein the comparison performed by the location estimating components compares (i) one of a confidence, and a geographic mobile unit location ambiguity, for the at least one of the first location related data and the additional location related data with (ii) the corresponding acceptability data. 100. The system of claim 98, wherein the corresponding acceptability data is dependent upon previously obtained mobile unit location related data obtained from wirelessly locating other of the mobile units by the system. 101. The system of claim 97, wherein the location estimating components includes one or more combiner components that determine the resulting location estimate by combining the additional location related data with at least one location estimate of the first location related data. 102. The system of claim 101, wherein the one or more combiner components uses the additional location related data to improve a location accuracy of the at least one location estimate of the first location related data. 103. The system of claim 101, wherein the one or more combiner components determine a confidence value indicative of a likelihood of the mobile unit M being at the resulting location estimate, the confidence value dependent upon a prior location estimate of the mobile unit M. 104. The system of claim 97, wherein the additional location related data is dependent upon and determined using the signal related data obtained from the wireless signal transmission received by the mobile unit M, the transmission from the one communication device not supported on the Earth's surface. 105. The system of claim 97, wherein the additional location related data is dependent upon and determined using the difference in the spatial position of the mobile unit M relative to the previous spatial position thereof. 106. The system of claim 97, wherein the additional location related data is independently determined from the location related data used for estimating the geographical location of the mobile unit M. 107. The system of claim 97, further including at least one location estimator to determine one or more location estimates of the mobile unit M, wherein the at least one location estimator uses the signal related data; wherein the at least one location estimator includes an electronic component of the mobile unit M, the electronic component operable for determining a location of mobile unit M according to geolocation information provided in a GPS signal as part of the wireless signal transmission received by the mobile unit M. 108. The system of claim 107, wherein the one communication device is a satellite. 109. The system of claim 107, wherein a combiner combines the additional location related data with at least one of the location estimates in determining the resulting location estimate; wherein the at least one location estimate and the additional location related data are each determined without being dependent on the other of the at least one location estimate and the second location related data. 110. The system of claim 97, wherein the location estimating components include an adjuster for adjusting at least one confidence value for at least one location estimate of the mobile unit M, wherein at least one of the following factors is used in adjusting the at least one confidence value: (a) how closely the resulting location estimate matches a predetermined route, (b) how likely an estimated velocity of the mobile M is for a geographical area having the resulting location estimate; (c) how closely the resulting location estimate corresponds to a different estimate for locating the mobile M; and (d) how closely the resulting location estimate corresponds to an extrapolated location estimate of the mobile unit M. 111. The system of claim 97, wherein the location estimating components output the resulting location estimate for presentation on a device display of the mobile unit M, the presentation representing a geographical area for the resulting location estimate, wherein colors are provided on the display such that for portions of the presentation corresponding to different parts of the geographical area, different ones of the colors are displayed, wherein each color, C, of at least two of the different colors represents a different corresponding likelihood of the mobile unit M being located in the respective corresponding part of the geographical area represented by the color C. 112. The system of claim 97, wherein the difference in the spatial position of the mobile unit M is dependent upon an output from a mobile unit M resident component that measures a characteristic of mobile unit M movement. 113. The system of claim 97, wherein the set of the communication devices includes one or more of the communication devices. 114. The system of claim 97, wherein the data D includes a wireless signal strength. 115. The system of claim 85, wherein at least one of the programmed machine components is spaced apart from the mobile unit M. 116. The system of claim 97, wherein the similarity or extent of similarity is indicative of wireless signal effects of one or more objects along a wireless transmission path of a wireless signal for wireless communication between the mobile unit M at the geographical location, and one of the communication devices. 117. The system of claim 97, wherein the similarity or extent of similarity is indicative of wireless signal effects of one or more objects along the wireless transmission path, wherein the mobile unit M is located at one of the first and second locations, and one of the communications devices is located at the other of the first and second locations. 118. The system of claim 97, wherein the programmed machine components are included in the mobile unit M. 119. The system of claim 110, wherein the adjuster uses at least two of the factors for adjusting the at least one confidence value. 120. The method of claim 1, wherein the similarity determining computational machine includes a computational machine component that can learn, from the data sets, which instances of the wireless location related data correspond to a likely geographical location of the mobile unit M. 121. The method of claim 1, wherein the similarity determining computational machine includes an artificial neural network for use in determining the similarity or extent of similarity. 122. The method of claim 45, wherein the similarity determining computational machine includes an adaptive pattern recognition, or adaptive pattern matching, computational component for providing the similarity or extent of similarity; wherein the computational component can learn, from the data sets, which instances of the wireless location related data correspond to a likely geographical location of the mobile unit M. 123. The system of claim 85, wherein at least one of the programmed machine components is spaced apart from the mobile unit M, wherein for determining the resulting location estimate, the at least one programmed machine component obtains the second location related data via a network transmission from the mobile unit M.
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