GNSS receiver autonomous integrity monitoring(RAIM)algorithm based on robust estimation  

作　　者：Yuanxi Yang Junyi Xu 

机构地区：[1]State Key Laboratory of Geo-information Engineering,Xi'an 710054,China [2]Xian Research Institute of Surveying and Mapping,Xi'an 710054,China [3]Beijing Satellite Navigation Center,Beijing 100094,China

出　　处：《Geodesy and Geodynamics》2016年第2期117-123,共7页大地测量与地球动力学（英文版）

基　　金：supported by the National 863 project(2013AA122501-1);the National Natural Science Foundation of China(41020144004,41474015,41374019,41374003,41274040)

摘　　要：Integrity is significant for safety-of-life applications. Receiver autonomous integrity monitoring（RAIM） has been developed to provide integrity service for civil aviation. At first,the conventional RAIM algorithm is only suitable for single fault detection, single GNSS constellation. However, multiple satellite failure should be considered when more than one satellite navigation system are adopted. To detect and exclude multi-fault, most current algorithms perform an iteration procedure considering all possible fault model which lead to heavy computation burden. An alternative RAIM is presented in this paper based on multiple satellite constellations（for example, GPS and Bei Dou（BDS） etc.） and robust estimation for multi-fault detection and exclusion, which can not only detect multi-failures,but also control the influences of near failure observation. Besides, the RAIM algorithm based on robust estimation is more efficient than the current RAIM algorithm for multiple constellation and multiple faults. Finally, the algorithm is tested by GPS/Bei Dou data.Integrity is significant for safety-of-life applications. Receiver autonomous integrity monitoring（RAIM） has been developed to provide integrity service for civil aviation. At first,the conventional RAIM algorithm is only suitable for single fault detection, single GNSS constellation. However, multiple satellite failure should be considered when more than one satellite navigation system are adopted. To detect and exclude multi-fault, most current algorithms perform an iteration procedure considering all possible fault model which lead to heavy computation burden. An alternative RAIM is presented in this paper based on multiple satellite constellations（for example, GPS and Bei Dou（BDS） etc.） and robust estimation for multi-fault detection and exclusion, which can not only detect multi-failures,but also control the influences of near failure observation. Besides, the RAIM algorithm based on robust estimation is more efficient than the current RAIM algorithm for multiple constellation and multiple faults. Finally, the algorithm is tested by GPS/Bei Dou data.

关 键 词：GNSS Integrity Receiver autonomous integrity monitoring（RAIM） Robust estimation Fault detection 

分 类 号：P228.4[天文地球—大地测量学与测量工程]