Low-Complexity Multipath Mitigation Technique Based on Multi-Correlator Structures

Christian Siebert, A. Konovaltsev, M. Meurer
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Abstract

Multipath propagation is still a major source of error in global navigation satellite systems (GNSSs), especially in urban environments. Conventional GNSS receivers provide under such conditions only a degraded accuracy. At the same time, applying an effective but computationally complex multipath mitigation algorithm potentially exceeds cost or energy consumption requirements. Therefore, a low-complexity multipath mitigation technique is proposed in this paper. It relies on a multi-correlator structure with an Extended Kalman Filter (EKF) replacing the conventional delay locked loop (DLL) for the code tracking. Multipath resilience is achieved by incorporating the radio propagation channel between satellite and user in the measurement model, inherently accounting for reflected signal replicas. In order to reduce complexity, the effect of the number and distribution of the correlators used has been investigated. It turned out, that even with a very low number of correlators, a high multipath mitigation capability is maintained. The results have been validated with actual measurement data.
基于多相关器结构的低复杂度多径缓解技术
多径传播仍然是全球卫星导航系统(gnss)的主要误差来源,特别是在城市环境中。在这种情况下,传统的GNSS接收机只能提供较低的精度。同时,应用有效但计算复杂的多路径缓解算法可能会超出成本或能耗要求。为此,本文提出了一种低复杂度的多径缓解技术。该算法采用扩展卡尔曼滤波器(EKF)取代传统的延迟锁相环(DLL),采用多相关器结构进行代码跟踪。多径弹性是通过在测量模型中纳入卫星和用户之间的无线电传播信道来实现的,固有地考虑了反射信号副本。为了降低复杂度,研究了相关器数量和分布的影响。结果表明,即使相关器数量非常少,也能保持较高的多径缓解能力。结果与实际测量数据相吻合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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