卫星故障探测和定位的Bayes方法  

Bayes Algorithms of Satellite Faults Detection and Identification

作　　者：李新娜 马朝忠 郭淑妹[1] LI Xinna;MA Chaozhong;GUO Shumei(Information Engineering University,Zhengzhou 450001,China)

机构地区：[1]信息工程大学,河南郑州450001

出　　处：《测绘科学技术学报》2020年第1期21-25,共5页Journal of Geomatics Science and Technology

基　　金：国家自然科学基金项目(41474009,41174005);信息工程大学校自主立项(1063901)。

摘　　要：针对卫星导航系统的多星故障问题,设计和提出了卫星故障探测和识别的Bayes方法。从Bayes统计理论出发,融合先验信息得到观测误差的后验分布;通过计算观测误差的后验概率值探测卫星是否存在故障。结合蒙特卡罗方法将复杂的后验概率计算公式转化为求样本平均,进而满足探测方法的实时性要求。仿真试验表明,该方法能够比较快速且准确地定位卫星故障,补充了导航卫星故障探测算法的理论完备性,在一定程度上也提高了导航定位的精确性。According to the fact that multiple faults exist in satellite navigation systems,Bayes algorithms for Receiver Autonomous Integrity Monitoring(RAIM)is designed and proposed.Based on Bayes statistical theory,the posterior distribution of observation errors is deduced by fusing prior information,and the satellite faults are detected by calculating the posterior probability of observation errors.Combined with Monte Carlo method,the complex formula of calculating the posterior probability is transformed into the average of samples,which meets the real-time requirements of faults detection.The simulation results show that the method can locate satellite faults quickly and accurately,which theoretically complements the completeness of RAIM algorithms,and improves the accuracy of navigation and positioning to a certain extent.

关 键 词：卫星故障 BAYES方法 后验概率 蒙特卡罗方法 3σ原则 

分 类 号：P207[天文地球—测绘科学与技术] TN911.4[电子电信—通信与信息系统]