Time-varying smooth variable structure filter based on interactive multi-model

被引：0

作者：

Wang, Jian ^{[1
,2
]}

Zhou, Lihui ^{[1
]}

Chen, Jiafu ^{[1
]}

Li, Xinqi ^{[1
]}

Guo, Linyang ^{[1
]}

He, Zihao ^{[1
]}

Zhou, Hao ^{[1
]}

机构：

[1] School of Electronic and Information, Northwestern Polytechnical University, Xi’an

[2] No. 365 Institute, Northwestern Polytechnical University, Xi’an

来源：

Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica | 2024年 / 45卷 / 21期

基金：

中国国家自然科学基金;

关键词：

interactive multi-model; maneuvering target tracking; smooth variable structure filter; state estimation; time-varying smoothing boundary layer;

D O I：

10.7527/S1000-6893.2024.30167

中图分类号：

学科分类号：

摘要：

To overcome the problems of jitter and ineffective estimation of the unmeasured target state in the smooth variable structure filter，a time-varying smooth variable structure filter based on interactive multi-model is proposed. Firstly，the target state is estimated through the smooth variable structure filter. Subsequently，the jitter problem is solved by computing the time-varying smooth boundary layer and employing the tanh function instead of the saturation function to calculate the initial state gain. Then，Bayesian formulas are applied to recompute the covariance matrix and state gain to update the target state，effectively addressing the challenge of inefficient estimation of unmeasured states in the smooth variable structure filter. Finally，the algorithm is integrated with the interactive multi-model approach to achieve effective tracking of maneuvering targets. Simulation results demonstrate that the proposed algorithm main⁃ tains its effectiveness in tracking maneuvering targets under the conditions of model mismatch and changes in mea⁃ surement noise or non-Gaussian measurement noise. The simulation results indicate that the method proposed has a significant improvement in tracking accuracy and robustness over typical target tracking methods. © 2024 Chinese Society of Astronautics. All rights reserved.

引用

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