Paper Info
Title
Performance Analysis of BDS-3 SAIM and Enhancement Research on Autonomous Satellite Ephemeris Monitoring
Abstract
Integrity is one of the key indicators used to characterize the performance of the global navigation satellite systems (GNSSs) and is closely related to user safety. In order to realize real-time global integrity monitoring, the BeiDou Global Navigation Satellite System (BDS-3) has realized the "satellite autonomous integrity monitoring" (SAIM) function in its satellites for the first time. BDS-3 SAIM has the monitoring functions of signal power, pseudo-range, satellite clock frequency and phase, but not the monitoring function of broadcast ephemeris. In this study, the long-term stability and distribution characteristics of BDS-3 SAIM monitoring data were analyzed by using the actual telemetry data for the first time. The results show that the SAIM monitoring data have good long-term stability and basically follow a normal distribution, which meets the design expectations. Meanwhile, in view of the fact that BDS-3 SAIM does not have the ability to independently monitor broadcast ephemerides, which may lead to the over-tolerance of BDS-3 to the probability risk of risks of integrity in the active space environment, a SAIM enhancement design for ephemeris monitoring is proposed, which integrates three relatively independent methods, with the ephemeris extrapolated from the previous cycle, and the ephemeris generated by autonomous orbit determination, inter-satellite link distance measurement data as reference data, respectively. The three methods are analyzed and verified. The results show that each of the three methods has advantages and disadvantages in terms of monitoring accuracy and resource dependence. The integration of the three methods can combine their complementary advantages and can also provide valuable as an important reference for engineering applications.
Year
DOI
Venue
2022
10.3390/rs14153543
REMOTE SENSING
Keywords
DocType
Volume
BDS-3, SAIM, autonomous satellite ephemeris monitoring, GNSS
Journal
14
Issue
ISSN
Citations 
15
2072-4292
0
PageRank 
References 
Authors
0.34
0
11
Name
Order
Citations
PageRank
Lei Chen16239395.84
Yongshan Dai200.34
Weiguang Gao301.35
Yueling Cao402.37
Zhigang Hu500.68
Qianyi Ren600.34
Xin Nie700.34
Jiaju Zheng800.34
Ruiqiang Shao900.34
Ling Pei1000.68
Lu Wang1114432.99