An adaptive cubature Kalman filtering algorithm based on variational mode decomposition for pulsar navigation

被引：5
|
作者：
Yang, Jiahui [1 ,2 ]
Gao, Shesheng [2 ]
Li, Guo [2 ]
Gao, Zhaohui [3 ]
机构：
[1] Northwestern Polytech Univ Shenzhen, Res & Dev Inst, Shenzhen, Peoples R China
[2] Northwestern Polytech Univ, Sch Automat, Xian 710064, Peoples R China
[3] Xian Univ Petr, Sch Elect Engn, Xian, Peoples R China
来源：
IET COMMUNICATIONS | 2022年 / 16卷 / 16期
关键词：
Adaptive filtering - Adaptive filters - Electromagnetic wave emission - Kalman filters - Navigation systems - Pulsars - Spurious signal noise;
D O I：
10.1049/cmu2.12453
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Aiming at the problem of X-ray pulsar navigation system with uncertain measurement noise, an adaptive cubature Kalman filter (CKF) algorithm is proposed based on variational mode decomposition (VMD). Firstly, the multi-step measurements are predicted by CKF to extend the measurement sequence. Then, the high-frequency noise, which is separated from the extended measurement sequence by VMD, is used to reconstruct the measurement noise. Finally, the measurement noise covariance is estimated based on the reconstructed measurement noise to update the CKF parameters. The simulation results show that the proposed method can adaptively track the change of measurement noise and improve the positioning accuracy of X-ray pulsars navigation system (XPNAV).
引用
收藏
页码：1982 / 1992
页数：11
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