基于小波分析的RAIM算法卫星故障检测研究

A Research on Failure Detection of Wavelet Transformation Based RAIM Algorithm

摘要:

作为一种传统的卫星故障诊断方法,RAIM在卫星故障监测中发挥着重要作用;文中基于奇偶矢量RAIM算法,提出一种基于小波分析的RAIM算法的卫星故障检测方法；首先利用Haar小波分解,对卫星故障信号进行小波变换处理,提取故障信号特征,通过在不同尺度的奇异性变化找到信号突变点,然后将检测结果反馈给RAIM算法进行故障检测,对不同条件下的卫星故障进行故障检测性能进行分析；仿真实验表明,该算法提高了系统故障检测的准确性,降低了误警率。

Abstract:

As an traditional method of satellite failure detection, RAIM plays an important role in GPS integrity monitoring realm. Based on the parity vector RAIM algorithm, an improved satellite fault detection method based on wavelet-transform was presented. Firstly, the satellite fault signal was transformed, and the fault signal characteristics were extracted by using Haar wavelet decomposition. Then, the signal jumping point was identified on the different scales ,and the detection results were feedback to the RAIM algorithm to analyze the different fault performance. The simulation results show that the accuracy is improved ,and the false alarm rate is reduced.