Method using improved regularization method to restrain difference global positioning system (DGPS) integer ambiguity ill-condition

Abstract

The invention discloses a method using an improved regularization method to restrain difference global positioning system (DGPS) integer ambiguity ill-condition. The method using the improved regularization method to restrain the DGPS integer ambiguity ill-condition comprises the steps of (1), collecting observation data of a global positioning system (GPS) carrier phase, building a DGPS carrier phase double-difference observation equation; (2) obtaining a floating point solution of DGPS integer ambiguity and a corresponding variance-covariance matrix based on a least square method according to the DGPS carrier phase double-difference observation equation; (3) and using a two-step solution to build a regularization matrix in a Tikhonov regularization algorithm, obtaining a corresponding regularization parameter according to a DFP quasi-newton method, processing the variance-covariance matrix by using the obtained Tikhonov regularization algorithm, restraining ill-condition of the DGPS integer ambiguity, and at last obtaining accurate integer ambiguity. According to the method using the improved regularization method to restrain the DGPS integer ambiguity ill-condition, the improved Tikhonov regularization algorithm is used for restraining the problem of the ill-condition in the DGPS integer ambiguity, the method using the improved regularization method to restrain the DGPS integer ambiguity is beneficial for obtaining the accurate integer ambiguity, and high-accuracy positioning and attitude measurement of DGPS can be achieved.

Description

technical field [0001] The invention relates to a method for suppressing the ill-conditionedness of the integer ambiguity of DGPS (Difference Global Positioning System) by using an improved regularization method, and belongs to the technical field of suppressing the ill-conditioned problems existing in the process of solving the DGPS integer ambiguity. Background technique [0002] When using DGPS for high-precision positioning and attitude measurement, the most important thing is to solve the ambiguity of the whole circle. In the data processing of DGPS for high-precision positioning, the parameter estimation is generally based on the least square method (Least Square Method). The traditional processing method is to first perform the least square estimation to obtain the floating-point solution of the ambiguity, and then Combining various methods of searching for ambiguity to determine the ambiguity. [0003] Among the many methods for solving the integer ambiguity, the LA...

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Problems solved by technology

[0006] The purpose of the present invention is to improve and solve the ill-conditioned problem in the DGPS integer ambiguity solution process, and proposes a method for suppressing the ill-conditioned DGPS integer ambiguity by using an improved regularization method. The present invention solves the problem of DGPS integer ambiguity. The ill-conditioned problem in the ambiguity solution, so that a stable whole-circle ambiguity solution can be obtained, and the high-precision positioning and attitude measurement of DGPS can be realized

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