EGU2020-21092
https://doi.org/10.5194/egusphere-egu2020-21092
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

PPP RAIM Algorithm of based on Fuzzy Clustering Analysis

Shouzhou Gu
Shouzhou Gu
  • Chinese Academy of Surveying and Mapping, Institute of Geodesy and Geodynamics , China (gusz@casm.ac.cn)

With the development of various navigation systems, 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 precision point positioning and ensured better reliability results.

How to cite: Gu, S.: PPP RAIM Algorithm of based on Fuzzy Clustering Analysis, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21092, https://doi.org/10.5194/egusphere-egu2020-21092, 2020