非高斯环境下的GPS自适应多径抑制技术

doi:10.7527/S1000-6893.2014.0066

Abstract

Abstract:

In order to mitigate global positioning system (GPS) signal multipath in non-Gaussian environment, especially for short multipath, the paper derives a modified least mean p-norm (LMP) algorithm. It can effectively reduce the convergence time through predicting the update trend of weights. By theoretically analyzing and simulating the parameters changing effect of the modified algorithm, its convergence speed advantage is verified. The convergence time can be shortened by 50%. In the non-Gaussian environment, in order to achieve multipath parameter estimation and obtain greater processing gain, an improved multipath mitigation scheme is designed. The improved algorithm mentioned previously is applied to the adaptive weight update, and a mean filtering algorithm for updated weights. Simulation verifies that the proposed multipath mitigation method has shown good stability and effectiveness in the non-Gaussian and Gaussian environments.

Key words: satellite navigation, multipath propagation, non-Gaussian environments, least mean p-norm, mean filtering

CLC Number:

DING Jicheng, HUANG Weiquan, WANG Ye. GPS Adaptive Multipath Mitigation Technique in Non-Gaussian Environment[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2014, 35(8): 2234-2242.

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GPS Adaptive Multipath Mitigation Technique in Non-Gaussian Environment

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