一种改进的全球卫星导航系统多星故障排除方法

An Improved Method of Multi-satellite Faults Exclusion for GNSS

分析全球卫星导航系统的多星故障排除方法,研究跳出传统模式的接收机自主完好性监测算法——随机搜索法,针对其不足之处,在奇偶矢量法的基础上研究了检测门限和排故率的关系,提出一种新的检测门限选取方法,平衡了漏检率和虚警率,明显提高了随机搜索法的整体排故率,尤其是在可见卫星数较少、故障偏差较小的情况下,排故率的提升更为显著。同时,改进算法的运算量相对于奇偶矢量法仅小幅上升。仿真实验表明,改进算法有效可行,适用于全球卫星导航系统中的多星故障排除。

Methods of multi-satellite faults exclusion for GNSS are analyzed, and an unconventional receiver autonomous integrity monitoring （RAIM） algorithm called random search method （RSM） is studied. For the shortcomings of RSM, the relationship between the detection threshold and fault exclusion rate is studied based on the parity vector method. A novel method of detection threshold selection is proposed to raise the fault exclusion rate by balancing the missing detection rate and false alarm rate, especially on the conditions of little visible satellites and small fault bias. Meanwhile, the computation of the improved method just increases slightly compared with the parity vector method. Simulation results show that the improved method is effective and feasible to the multi-satellite faults exclusion for GNSS.