SINS/GNSS integrated navigation system based on maximum versoria filter

Chunhui ZHAO, Zhenyu YANG, Xiaoran CHENG, Jinwen HU, Xiaolei Hou

科研成果: 期刊稿件文章同行评审

15 引用 (Scopus)

摘要

In the missile-borne Strapdown Inertial Navigation System/Global Navigation Satellite System (SINS/GNSS) integrated navigation system, due to the factors such as the high dynamics, the signal blocking by obstacles, the signal intefereces, etc., there always exist pulse interferences or measurement information interruptions in the satellite receiver, which make nonstationary measurement process. The traditional Kalman Filter (KF) can tackle the state estimation problem under Gaussian white noise, but its performance will be significantly reduced under non-Gaussian noises. In order to deal with the non-Gaussian conditions in the actual missile-borne SINS/GNSS integrated navigation systems, a Maximum Versoria Criterion Extended Kalman Filter (MVC-EKF) algorithm is proposed based on the MVC and the idea of M-estimation, which assigns a smaller weight to the anomalous measurements so as to suppress the influence of anomalous measurements on the state estimation while maintaining a relatively low calculation cost. Finally, the integrated navigation simulation experiments prove the effectiveness and robustness of the proposed algorithm.

源语言英语
页(从-至)168-178
页数11
期刊Chinese Journal of Aeronautics
35
8
DOI
出版状态已出版 - 8月 2022

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