RAIM Algorithm Based on Fuzzy Clustering Analysis

Abstract

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.

[Retracted] Prediction Model of Mining Subsidence Parameters Based on Fuzzy Clustering

“…e basic process of fuzzy clustering of the IWFCM_CCS algorithm based on competitive merger strategy is shown in Figure 2 [16][17][18][19][20][21][22][23][24].…”

Introduction for the Special Issue on Beyond the Hypes of Geospatial Big Data: Theories, Methods, Analytics, and Applications

“…The designed LNA can be widely applied to collect the spatiotemporal data, such as wireless network, mobile communications and future S band satellite navigation. The two articles following, "The Quality Assessment of Non-integer-hour Data in GPS Broadcast Ephemeris and its Impact on the Accuracy of Real-time Kinematic Positioning over South China Sea" by Sun et al [Sun, Xu, Gao et al (2019)], and "RAIM Algorithm based on Fuzzy Clustering Analysis" by Gu et al [Gu, Bei, Shi et al (2019)], investigate the data processing methods of gross errors in GNSS navigation and observation data, respectively. The two articles present some novel data processing strategies to reduce or control the impact of gross errors in GNSS data and improve the accuracy and reliability of the GNSS navigation and positioning solutions.…”