Receiver Autonomous Integrity Monitoring Algorithm Based on Robust Extended Kalman Filter

被引：0
|
作者：
Li, Zhen [1 ]
Song, Dan [1 ]
Niu, Fei [2 ]
Xu, Chengdong [1 ]
机构：
[1] Beijing Inst Technol, Sch Aerosp Engn, Beijing, Peoples R China
[2] Beijing Satellite Nav Ctr, Beijing, Peoples R China
来源：
2016 2ND IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATIONS (ICCC) | 2016年
基金：
中国国家自然科学基金;
关键词：
receiver autonomous integrity monitoring (RAIM); robust extended kalmanfilter (REKF); micro pseudorange error; position accuracy;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
A receiver autonomous integrity monitoring (RAIM) algorithm based on robust extended kalman filter (REKF) is used for detecting and identifying the micro pseudorange error in this paper. The micro pseudorange error propagation is controlled by REKF, and the test statistics is constructed precisely to detect and identify the error. The simulation results show that the RAIM algorithm based on REKF has a higher fault detection rate and fault identification rate for micro pseudorange error than the conventional RAIM algorithm based on conventional extended kalman filter (CEKF), besides, the position accuracy is improved.
引用
收藏
页码：1809 / 1813
页数：5
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