遗传算法最优拟合抑制GPS多径研究

Abstract

Abstract:

Traditional GPS receivers can not mitigate the close-in multipath effectively, which reduces the positioning accuracy. A method based on the Genetic Algorithm to approximate the GPS close-in multipath is proposed, which transforms multipath estimation to a best fitting problem. The Genetic Algorithm is used in order to avoid the model's falling into the local least value. By accurate estimation of multipath parameters, the multipath is mitigated effectively. The step of the algorithm is described, and the simulation proves that the precision of the measured pseudorange is improved by 2 times in the close-in multipath condition.

Key words: global positioning system, multipath propagation, optimum fitting, genetic algorithms

CLC Number:

TN914.53

WANG Jiang-an;ZHUANG Yi-qi;LI Di;JIN Zhao. Study of optimum fitting using the genetic algorithm for multipath mitigation in GPS receivers[J].J4, 2009, 36(6): 1044-1048.

References

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Study of optimum fitting using the genetic algorithm for multipath mitigation in GPS receivers

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