Analysis of Fault Detection Based on Least Squares Approach for BDS Integrity Monitoring

2021 ◽  
Author(s):  
Yi Zhang ◽  
Ershen Wang ◽  
Jing Guo ◽  
Yao Wang ◽  
Cen Wu ◽  
...  
Keyword(s):  
Fault Detection ◽  
Least Squares ◽  
Integrity Monitoring ◽  
Least Squares Approach

scholarly journals Research on GNSS Receiver Autonomous Integrity Monitoring Method Based on M-Estimation

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Pengfei Zhang ◽  
Pengyun Chen ◽  
Dan Song ◽  
Guochao Fan
Keyword(s):  
Fault Detection ◽  
Least Squares ◽  
Least Squares Method ◽  
Least Squares Estimation ◽  
Monitoring Method ◽  
Integrity Monitoring ◽  
Fault Detection And Identification ◽  
The Future ◽  
M Estimation ◽  
Receiver Autonomous Integrity Monitoring

Receiver Autonomous Integrity Monitoring (RAIM) method is an effective means to provide integrity monitoring for users in time. In order to solve the misjudgment caused by the interference of gross error to the least squares algorithm, this paper proposes a RAIM method based on M-estimation for multiconstellation GNSS. Based on five programs, BDS, GPS/BDS, and GPS/BDS/GLONASS at the current stage, the future Beidou Global Navigation Satellite System, and the future GPS/BDS/GLONASS/Galileo system, the new RAIM method is compared with the traditional least squares method by simulation. The simulation results show that, with the increase of constellations, RAIM availability, fault detection probability, and fault identification probability will be improved. Under the same simulation conditions, the fault detection and identification probabilities based on M-estimation are higher than those based on least squares estimation, and M-estimation is more sensitive to minor deviation than least squares estimation.

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