改进的基于故障特征平面的双星故障识别算法  

Improved RAIM Algorithm for Identifying Simultaneous Two-faulty Satellites Based on Faulty Feature Plane

作　　者：武永明[1] 李魁[1,2] 吕妍红[1] 王灵草 

机构地区：[1]北京航空航天大学仪器科学与光电工程学院,北京100191 [2]北京航空航天大学电子信息工程学院,北京100191

出　　处：《电子学报》2016年第12期2829-2833,共5页Acta Electronica Sinica

基　　金：国家自然科学基金(No.L142200032);中国工程科技中长期发展战略研究基金(No.2014zcq01)

摘　　要：针对基于识别门限的奇偶矢量法等双星故障识别算法存在较大误警率、漏检率以及故障偏差抵消致使双星故障正确识别率较低的问题,提出了一种改进的用于双星故障识别的接收机自主完好性监测算法.在奇偶矢量法的基础上,构造故障特征平面和改进奇偶矢量,分析二者之间的几何特征与卫星故障的关系,并设计相应算法识别故障卫星.该算法不受识别门限的影响,避免了由识别门限引起的识别率较低的不足.半物理仿真结果显示:改进后的算法故障识别率达到90%以上,与直接利用奇偶矢量法相比,可以显著提高双星故障识别率.Traditionally, the receiver autonomous integrity monitoring （RAIM） algorithm such as parity vector meth- od for identifying two-faulty satellites based on identification threshold led to not only higher missed detection rate but also higher false alarm rate and fault counteraction, which decreased the correct identifying ratio. Therefore, an improved R.AIM algorithm was proposed. On the basis of parity vector method, the improved algorithm constructed a faulty feature plane, and faulty satellites were identified by the geometry relationships between the plane and the proposed parity vector. These made the algorithm immune to the problem of high identifying threshold and improved the identifying ratio. Semi-physical simula- tion results indicated that the correct identifying ratio of the proposed algorithm reached 90%, and the performance was im- proved compared with the traditional algorithm.

关 键 词：自主完好性监测 奇偶矢量 故障特征平面 故障识别 

分 类 号：V474.2[航空宇航科学与技术—飞行器设计] TN967.1[电子电信—信号与信息处理]