基于多样本累积的GPS接收机自主完好性监测方法

Methods Based on Multi-Samples and Accumulation for GPS Receiver Autonomous Integrity Monitoring

在卫星导航系统卫星数目减少时由于冗余信息的减少,RAIM算法性能会受到影响。针对此问题,本文提出了基于滑动累积的多样本2检验方法,通过引入惯导信息将多个时刻卫导观测信息外推到同一时间点上进行一致性检验以实现故障监测。该方法的实质,是以牺牲接收机自主完好性监测的实时性为代价,保障了观测信息的冗余性,从而实现了完好性监测。本文首先对GPS应用此算法的故障监测性能进行仿真对比分析,其次针对民航不同飞行阶段的应用情况进行了仿真验证。仿真结果表明:本算法提高了GPS定位完好性,为RAIM算法在航空中的应用提供了新的解决思路。

Redundant information would decrease as the reduction in GNSS satellites, resulting in degradation of RAIM performance. Aiming at this problem, a method of chi-square test of multi-samples based on the sliding and accumulation is proposed. With the help of INS, it is used to achieve fault monitoring by extrapolating GNSS observations at multiple time to certain observation at the same time for making their consistency test. The essence of the method is that the fault monitoring is achieved by ensuring redundancy of observations at the expense of real-time autonomous integrity monitoring. In the paper the algorithm is used for GPS to simulate and compare fault monitoring performance, and validated in applications during different civil flight phases. The simulation shows that the algorithm can improve the integrity of GPS and present a new solution to the application of RAIM in aviation.