[특허]Identification and removal of a false detection in a radar system

Identification and removal of a false detection in a radar system 원문보기

IPC분류정보
국가/구분	United States(US) Patent 등록
국제특허분류(IPC7판)	G01S-007/292 G01S-007/02 G01S-013/524 G01S-013/58
출원번호	US-0723940 (2012-12-21)
등록번호	US-8976059 (2015-03-10)
발명자 / 주소	Dizaji, Reza M. Ponsford, Anthony M. McKerracher, Richard Wang, Emily
출원인 / 주소	Raytheon Canada Limited
대리인 / 주소	Daly, Crowley, Mofford & Durkee, LLP
인용정보	피인용 횟수 : 0 인용 특허 : 45

초록 ▼

In one aspect, a method to identify and remove a false detection includes receiving a detection from a constant false alarm rate (CFAR) processor, performing a first similarity measure on adjacent coherent integration time values (CITs) corresponding to the detection, performing a second similarity measure on neighbor CITs corresponding to the detection, determining if at least one of the first or second similarity measure is below a threshold and discarding the detection if at least one of the first or second similarity measures is below the threshold.

대표청구항 ▼

1. A method to identify and remove a false detection comprising: receiving a detection from a constant false alarm rate (CFAR) processor;performing a first similarity measure on adjacent coherent integration time values (CITs) corresponding to the detection;performing a second similarity measure on neighbor CITs corresponding to the detection;determining if at least one of the first or second similarity measure is below a threshold; anddiscarding the detection if at least one of the first or second similarity measures is below the threshold. 2. The method of claim 1, further comprising: receiving pulse data;generating close CITs from the pulse data;performing Doppler processing on the close CITs; andgenerating beams from the Doppler processed data. 3. The method of claim 2, further comprising: performing Doppler processing on the pulse data;generating beams from the Doppler processed data; andproviding the beams to an external interference cancellation (EIC) processor to remove interference; andproviding an output of the EIC processor to the CFAR processor. 4. The method of claim 1 wherein performing a first similarity measure on adjacent CITs corresponding to the detection comprises determining a similarity amongst a beam pattern at time T, a beam pattern at T−dt and beam pattern at T+dt. 5. The method of claim 1 wherein performing a second similarity measure on neighbor CITs corresponding to the detection comprises: determining a similarity amongst neighbor beam patterns at time T;determining a similarity amongst neighbor beam patterns at T−dt; anddetermining a similarity amongst neighbor beam patterns at T+dt. 6. The method of claim 1 wherein performing a first similarity measure on adjacent CITs corresponding to the detection comprises performing a cross correlation. 7. An apparatus, comprising: electronic hardware circuitry to identify and remove a false detection, the circuitry configured to: receive a detection from a constant false alarm rate processor (CFAR);perform a first similarity measure on adjacent coherent integration time values (CITs) corresponding to the detection;perform a second similarity measure on neighbor CITs corresponding to the detection;determine if at least one of the first or second similarity measures is below a threshold; anddiscard the detection if at least one of the first or second similarity measure is below the threshold. 8. The apparatus of claim 7 wherein the circuitry comprises at least one of a processor, a memory, programmable logic devices and logic gates. 9. The apparatus of claim 7, further comprising circuitry configured to: receive pulse data;generate close CITs from the pulse data;perform Doppler processing on the close CITs; andgenerate beams from the Doppler processed data. 10. The apparatus of claim 7, further comprising circuitry configured to: perform Doppler processing on the pulse data;generate beams from the Doppler processed data; andprovide the beams to an external interference cancellation (EIC) processor to remove interference; andprovide an output of the EIC processor to the CFAR processor. 11. The apparatus of claim 7 wherein the circuitry configured to perform a first similarity measure on adjacent CITs corresponding to the detection comprises circuitry configured to determine a similarity amongst a beam pattern at time T, a beam pattern at T−dt and a beam pattern at T+dt. 12. The apparatus of claim 7 wherein the circuitry configured to perform a second similarity measure on neighbor CITs corresponding to the detection comprises circuitry configured to: determine a similarity amongst neighbor beam patterns at time T;determine a similarity amongst neighbor beam patterns at T−dt; anddetermine a similarity amongst neighbor beam patterns at T+dt. 13. The apparatus of claim 7 wherein the circuitry configured to perform a first similarity measure on adjacent CITs corresponding to the detection comprises circuitry configured to perform a cross correlation. 14. An article comprising: a non-transitory medium that stores executable instructions to identify and remove a false detection, the instructions causing a machine to: receive a detection from a constant false alarm rate processor (CFAR);perform a first similarity measure on adjacent coherent integration time values (CITs) corresponding to the detection;perform a second similarity measure on neighbor CITs corresponding to the detection;determine if at least one of the first or second similarity measures is below a threshold; anddiscard the detection if at least one of the first or second similarity measure is below the threshold. 15. The article of claim 14, further comprising instructions causing the machine to: receive pulse data;generate close CITs from the pulse data;perform Doppler processing on the close CITs; andgenerate beams from the Doppler processed data. 16. The article of claim 14, further comprising instructions causing the machine to: perform Doppler processing on the pulse data;generate beams from the Doppler processed data; andprovide the beams to an external interference cancellation (EIC) processor to remove interference; andprovide an output of the EIC processor to the CFAR processor. 17. The article of claim 14 wherein the instructions causing the machine to perform a first similarity measure on adjacent CITs corresponding to the detection comprises instructions causing the machine to determine a similarity amongst a beam pattern at time T, a beam pattern at T−dt and a beam pattern at T+dt. 18. The article of claim 14 wherein instructions causing the machine to perform a second similarity measure on neighbor CITs corresponding to the detection comprises instructions causing the machine to: determine a similarity amongst neighbor beam patterns at time T;determine a similarity amongst neighbor beam patterns at T−dt; anddetermine a similarity amongst neighbor beam patterns at T+dt. 19. The article of claim 14 wherein instructions causing the machine to perform a first similarity measure on adjacent CITs corresponding to the detection comprises instructions causing the machine to perform a cross correlation.

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Tamburino,Louis A., ATR trajectory tracking system (A-Track).
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Schaefer Carl F. (Westport CT), Amplitude selected phase interferometer angle measuring radar.
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Long, Maurice Wayne, Automatic radar target detector.
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Blackman Samuel S. ; Dempster Robert J. ; Nichols Thomas S., Group tracking.
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Hicks Richmond F. (Nashua NH), Hick\s probabilistic data association method.
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Killackey Henry T. (Covina CA) Martin Julia N. (Marion VA), Image plate/short backfire antenna.
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Weber Mark (Arlington MA), Low altitude wind shear detection with airport surveillance radars.
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Blackman Samuel S. (Los Angeles CA) Dempster Robert J. (Los Angeles CA), Method and apparatus for continuous time representation of multiple hypothesis tracking data.
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Tao Kuoting Mike ; Balakrishnan Ramesh, Method and apparatus for controlling a process using adaptive prediction feedback.
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Khosla,Deepak, Method and apparatus for joint kinematic and feature tracking using probabilistic argumentation.
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Winter Klaus,DEX ; Wagner Klaus-Peter,DEX, Method and device for determining an azimuth angle and/or an elevation angle in a multibeam radar system.
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Barbaresco Frederic,FRX, Method and device to determine the frequency spectrum of a signal.
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Beadle,Edward R.; Dishman,John F.; Anderson,Richard H.; Anderson,Paul D., Method and system for tracking eigenvalues of matrix pencils for signal enumeration.
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Stockman, Peter H.; Hepel, Miroslaw T., Monopulse radar system for determining the height of a target.
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Atlas David (7420 Westlake Ter. Bethesda MD 20817), Radar detection of hazardous small scale weather disturbances.
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Simpson Hilary Jane,GBX ; Winstone Martin Robert,GBX, Radar seeker.
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Mitsumoto Masashi (Kamakura JPX) Sugimoto Takahiko (Kamakura JPX) Fujisaka Takahiko (Kamakura JPX) Kondo Michimasa (Kamakura JPX), Radar signal processor and pulse doppler radar system therewith.
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Mulder Willem (Borne NLX) van Rooyen Gerrit (Haaksbergen NLX) Zwarts Johan M. C. (Borne NLX), Radar system.
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Schober Michael B. ; Davila Carlos A., Radar system and method for reducing range sidelobes.
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Joshua Michael Wurman ; Mitchell Alfred Randall, Radar system having multiple simultaneously transmitted beams operating in a scanning mode to identify scatterers.
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Kovacich,Michael A; Casaletto,Thomas R, Random set-based cluster tracking.
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Maskell,Simon Richard, Signal processing with reduced combinational complexity.
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Scott Logan, Spread spectrum correlation using saw device.
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Merritt David A. (982 N. Cedar Brook Rd. Boulder CO 80304), Statistical averaging method for wind profiler doppler spectra.
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Wigren Torbjorn,SEX, Target type estimation in target tracking.
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Krikorian,Kapriel V.; Rosen,Robert A., Technique for cancellation of elevated clutter for the detection of fixed and ground moving targets under trees.
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Lane, Walter R., Track quality indicator with hysteresis.
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Pulford Graham William,AUX ; Jarrott Robert Keith,AUX ; Evans Robin John,AUX, Tracking method for a radar system.
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Ward Harold R. (Bedford MA), Two and one-half dimensional radar system.
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Andrews LaVern A. (Fullerton CA) Moraitis Dennis (Yorba Linda CA), Two dimension radar system with selectable three dimension target data extraction.
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IPC	Description
A	생활필수품
A62	인명구조; 소방(사다리 E06C)
A62B	인명구조용의 기구, 장치 또는 방법(특히 의료용에 사용되는 밸브 A61M 39/00; 특히 물에서 쓰이는 인명구조 장치 또는 방법 B63C 9/00; 잠수장비 B63C 11/00; 특히 항공기에 쓰는 것, 예. 낙하산, 투출좌석 B64D; 특히 광산에서 쓰이는 구조장치 E21F 11/00)
A62B-1/08	.. 윈치 또는 풀리에 제동기구가 있는 것

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Identification and removal of a false detection in a radar system 원문보기

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Identification and removal of a false detection in a radar system 원문보기

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