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A method of fast GPS carrier phase integer ambiguity resolution is based on properties of a Residual Sensitivity Matrix (S matrix), which directly relates a set of integer ambiguities to carrier phase residuals. In one embodiment, the method uses the singular value decomposition of the S Matrix to s

A method of fast GPS carrier phase integer ambiguity resolution is based on properties of a Residual Sensitivity Matrix (S matrix), which directly relates a set of integer ambiguities to carrier phase residuals. In one embodiment, the method uses the singular value decomposition of the S Matrix to split the integer ambiguity set into two integer ambiguity subsets and to derive a relationship between the two integer ambiguity subsets. Thus, searching for the integer ambiguity set is reduced to searching for one of the two integer ambiguity subsets, resulting in greatly reduced search space. In an alternative embodiment, a portion of the rows of the S matrix that are linearly independent rows are selected and the S matrix is rearranged according to the selection. The rearranged S matrix is then split into four sub-matrices, which are used to relate the two integer ambiguity subsets.

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1. A method for fast resolution of a set of integer ambiguities associated with GPS carrier phase measurements with respect to a plurality of satellites, the method comprising:splitting the set of integer ambiguities into two subsets of integer ambiguities;deriving a relationship between the two sub

1. A method for fast resolution of a set of integer ambiguities associated with GPS carrier phase measurements with respect to a plurality of satellites, the method comprising:splitting the set of integer ambiguities into two subsets of integer ambiguities;deriving a relationship between the two subsets of integer ambiguities; andfor each of a plurality of candidate sets for a first subset of the two subsets of integer ambiguities, calculating a second subset of the two subsets of integer ambiguities and a residual value. 2. The method of claim 1, further comprising selecting a candidate set corresponding to a smallest residual value as a solution for the first subset of the integer ambiguities. 3. The method of claim 1, further comprising selecting the calculated second subset of integer ambiguities that corresponds to a smallest residual value as a solution for the second subset of integer ambiguities. 4. The method of claim 1 wherein splitting the set of integer ambiguities comprises:calculating a residual sensitivity matrix associated with the at least one GPS receiver and the plurality of satellites;selecting a number of linearly independent rows or columns of the residual sensitivity matrix; andselecting a subset of integer ambiguities corresponding to the selected number of rows or columns as the first subset of integer ambiguities. 5. The method of claim 4 wherein the number of independent rows or columns of the residual sensitivity matrix are selected to minimize measurement error. 6. The method of claim 5, wherein the number of linearly independent rows or column of the residual sensitivity matrix are selected such that each selected row or column has a diagonal element that is greater than the diagonal element in any of the unselected rows or columns. 7. A computer readable medium storing therein computer readable program instructions that, when executed by a computer, causes the computer to perform a method for fast resolution of a set of integer ambiguities associated with GPS carrier phase measurements with respect to a plurality of satellites, the instructions comprising:instructions for splitting the set of integer ambiguities into two subsets of integer ambiguities;instructions for deriving a relationship between the two subsets of integer ambiguities; andfor each of a plurality of candidate sets for a first subset of the two subsets of integer ambiguities, instructions for calculating a second subset of the two subsets of integer ambiguities and a residual value. 8. The computer readable medium in claim 7, wherein the computer readable program instructions stored therein further comprise instructions for selecting a candidate set corresponding to a smallest residual value as a solution for the first subset of the integer ambiguities. 9. The computer readable medium in claim 7, wherein the computer readable program instructions stored therein further comprise instructions for selecting the calculated second subset of integer ambiguities that corresponds to a smallest residual value as a solution for the second subset of integer ambiguities. 10. The computer readable medium in claim 7, wherein the instructions for splitting the set of integer ambiguities comprise:instructions for calculating a residual sensitivity matrix associated with the at least one GPS receiver and the plurality of satellites;instructions for selecting a number of linearly independent rows or columns of the residual sensitivity matrix; andinstructions for selecting a subset of integer ambiguities corresponding to the selected number of rows or columns as the first subset of integer ambiguities. 11. A method for fast resolution of a set of integer ambiguities associated with GPS carrier phase measurements with respect to a plurality of satellites, the measurements involving at least one GPS receiver, the method comprising:calculating a residual sensitivity matrix associated with the at least one GPS receiver and the plurality of satellites ;deriving a relationship between two subsets of the set of integer ambiguities according to properties of the residual sensitivity matrix; andfor each of a plurality of candidate sets for a first subset of the two subsets of integer ambiguities, calculating a second subset of the two subsets of integer ambiguities and a residual vector. 12. The method of claim 11, further comprising selecting a candidate set corresponding to the residual vector having a smallest norm value as a solution for the first subset of the integer ambiguities. 13. The method of claim 11, further comprising selecting the calculated second subset of integer ambiguities that corresponds to the residual vector having a smallest norm value as a solution for the second subset of integer ambiguities. 14. The method of claim 11 wherein deriving a relationship between two subsets of the set of integer ambiguities comprises:determining a relationship between the set of integer ambiguities and the residual sensitivity matrix; andperforming singular value decomposition of the residual sensitivity matrix. 15. The method of claim 14 wherein determining a relationship between the set of integer ambiguities and the residual sensitivity matrix includes minimizing a norm value of a phase range residual vector. 16. The method of claim 11 wherein deriving the relationship between the two subset of integer ambiguities comprises:determining a relationship between the set of integer ambiguities and the residual sensitivity matrix; andsplitting the residual sensitivity matrix into four submatrices. 17. The method of claim 16 wherein determining a relationship between the set of integer ambiguities and the residual sensitivity matrix include minimizing a norm value of a phase range residual vector. 18. The method of claim 16 wherein splitting the residual sensitivity matrix comprises rearranging the residual sensitivity matrix. 19. The method of claim 18 wherein rearranging the residual sensitivity matrix comprises:selecting a number of linearly independent rows or columns of the residual sensitivity matrix; andrearranging the residual sensitivity matrix such that the selected number of linearly independent rows of columns are positioned in a rearranged residual sensitivity matrix as first rows or columns of the rearranged residual sensitivity matrix. 20. The method of claim 19, wherein the number of linearly independent rows or column of the residual sensitivity matrix are selected such that each selected row or column has a diagonal element that is greater than the diagonal element in any of the unselected rows or columns.