Schmidt Kalman filter in autonomous orbit determination of navigation satellites

被引：0
|
作者：
Song X. [1 ,2 ]
Yang Y. [1 ,2 ]
Mao Y. [1 ,2 ]
Ruan R. [1 ,2 ]
Wang L. [1 ,2 ]
机构：
[1] State Key Laboratory of Geo-Information Engineering, Xi'an
[2] Research Institute of Surveying and Mapping, Xi'an
来源：
Cehui Xuebao/Acta Geodaetica et Cartographica Sinica | 2024年 / 53卷 / 05期
基金：
中国国家自然科学基金;
关键词：
autonomous orbit determination; BDS; decentralized filtering; inter-satellite link; navigation satellite;
D O I：
10.11947/j.AGCS.2024.20230228
中图分类号：
学科分类号：
摘要：
To further improve the accuracy of autonomous orbit determination(AOD) of BDS navigation satellites with the equivalent observation Kalman filter, the Schmidt Kalman filter algorithm is applied, considering the cross covariance information between two correlated satellite states of the inter-satellite link observation. The formula for the measurement update and time update of Schmidt Kalman filter according to the observation one by one is deduced, and the square root filtering is also used to ensure the positive definite of the covariance matrix of state variable. The simulation and observed data test result of autonomous orbit determination shows that the Schmidt Kalman filter algorithm can perceptibly improve the AOD accuracy compared with the equivalent observation Kalman filter. © 2024 SinoMaps Press. All rights reserved.
引用
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页码：879 / 888
页数：9
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