基于FIR模型的多径抑制方法研究

Multipath Mitigation Technique Based on FIR Model

多径效应是卫星导航系统的主要误差源之一。在现有研究中,基于最大似然估计准则的方法被认为是最佳的多径抑制技术,但是当存在多路信号且路径数量未知时,其计算尤为复杂。本文提出了一种基于FIR模型的多径抑制方法,利用基准相关函数和最小均方误差准则对接收信号进行参数估计和多径信号对消。该方法具有实现简单,易于实时信号处理,计算量与多径路数无关等优点。仿真结果表明,其性能略优于基于最大似然估计准则的MEDLL(Multipath EstimatingDelay Lock Loop)技术。

Multipath is one of main errors in GNSS.Among the existing research,the maximum-likelihood（ML） methods are regarded as the best to mitigate multipath but computationally complex,especially when there are many multipaths and the number of multipaths is unknown.A multipath mitigation technique based on FIR model is put forward.The reference correlation function and the minimum mean square error principle is used to estimate the parameters and eliminate the multipath of received signals.The method is provided with simple implementation and high real-time processing capability,and its computation complexity is independent of the amount of multipaths.Simulation results show that it is superior to the MEDLL（Multipath Estimating Delay Lock Loop） technique based on ML.