ACTA AERONAUTICAET ASTRONAUTICA SINICA >
RAIM integrity risk estimation method based on worst multi⁃satellite faults searching
Received date: 2023-03-13
Revised date: 2023-04-06
Accepted date: 2023-05-15
Online published: 2023-05-18
Supported by
National Key Development Research and Program(2021YFB3901300);National Natural Science Foundation of China(61773132)
As the core function of Receiver Autonomous Integrity Monitoring （RAIM）， strict integrity risk estimation is the key to accurately measure navigation and positioning integrity. The interoperation of global navigation satellite systems increases the probability of multi-satellite faults dramatically， which reduces the rigor of the traditional integrity risk estimation based on the worst fault bias of a single satellite. In this paper， an integrity risk estimation method considering multi-satellite faults is proposed. As the rigorous estimation of multi-satellite fault integrity risk is limited by the accurate determination of the multi-satellite worst fault bias， a two-step method for determining the worst fault bias is established by determining the worst-case fault unit vector and search interval of the worst-case fault magnitude. The conservative estimation of the integrity risk of navigation and positioning is realized. Constellation simulation software is used to simulate satellite fault scenarios to test the rigor of the integrity risk estimation method. Experimental results show that compared with the traditional integrity risk estimation method， the proposed method can significantly reduce the rate of missed detection in multi-constellation scenarios. In addition， when compared to advanced RAIM method that consider multi-constellation and multi-satellite faults， the proposed method can improve the proportion meeting a global availability of 99.5% by 9.42% at most.
Ruijie LI , Liang LI , Jiachang JIANG , Li CHENG , Liuqi WANG . RAIM integrity risk estimation method based on worst multi⁃satellite faults searching[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2024 , 45(2) : 328684 -328684 . DOI: 10.7527/S1000-6893.2023.28684
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