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Research on Multipath Mitigation Based on the Variable Length Reduced Sigma Point Kalman Filter

机译:基于可变长度的多径减缓Σ-Point Kalman滤波器的多径缓解研究

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In the modernized GNSS systems, multipath has become the major limitation to the application of high precision positioning and the performance of all sorts of receivers. Moreover, the characteristics of multipath of different satellites are different in the combined constellation. Towards the aim of multipath mitigation for the monitoring stations in Beidou navigation satellite system (BDS), this paper analyzes the characteristics of multipath of combined constellation in BDS system first, and an algorithm of multipath mitigation based on the variable length Reduced Sigma Point Kalman Filter (RSPKF) is put forward subsequently, which can be employed in the multipath mitigation for different kinds of satellites in the combined constellation. The results of field experiments implied that, the standard deviation of multipath residuals for all frequencies and all kinds of satellites were reduced more than 27 % by the proposed algorithm while compared with the multipath mitigation method based on the fixed data length RSPKF.
机译:在现代化的GNSS系统中,MultiPath已成为应用高精度定位和各种接收器的性能的主要限制。此外,不同卫星的多径的特征在组合星座中不同。朝着北欧导航卫星系统(BDS)监测站的多径缓解的目的,分析了BDS系统中组合星座的多路径的特点,以及基于可变长度的多径减缓算法减少Σ-Point Kalman滤波器(RSPKF)随后提出,可以在组合星座中的不同种类卫星的多径缓解中使用。现场实验结果暗示,与基于固定数据长度RSPKF的多径缓解方法相比,所有频率和各种卫星的多径残差的标准偏差减少了大于27%以上的算法。

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