TY - EJOU AU - Gu, Shouzhou AU - Bei, Jinzhong AU - Shi, Chuang AU - Dang, Yaming AU - Zheng, Zuoya AU - Cui, Congcong TI - RAIM Algorithm Based on Fuzzy Clustering Analysis T2 - Computer Modeling in Engineering \& Sciences PY - 2019 VL - 119 IS - 2 SN - 1526-1506 AB - With the development of various navigation systems (such as GLONASS, Galileo, BDS), there is a sharp increase in the number of visible satellites. Accordingly, the probability of multiply gross measurements will increase. However, the conventional RAIM methods are difficult to meet the demands of the navigation system. In order to solve the problem of checking and identify multiple gross errors of receiver autonomous integrity monitoring (RAIM), this paper designed full matrix of single point positioning by QR decomposition, and proposed a new RAIM algorithm based on fuzzy clustering analysis with fuzzy c-means (FCM). And on the condition of single or two gross errors, the performance of hard or fuzzy clustering analysis were compared. As the results of the experiments, the fuzzy clustering method based on FCM principle could detect multiple gross error effectively, also achieved the quality control of single point positioning and ensured better reliability results. KW - Integrity KW - RAIM KW - FCM KW - single point positioning DO - 10.32604/cmes.2019.04421