Cubature Gaussian particle filter for initial alignment of strapdown inertial navigation system

Weisheng Wu*, Chunlei Song, Junhou Wang, Zhenzhen Long

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

4 引用 (Scopus)

摘要

The error model of the initial alignment of the marine strapdown inertial navigation system on the swaying base is nonlinear, while the azimuth angle error is large. For this nonlinear model, a new nonlinear filter called as the cubature Gaussian Particle filter is proposed, which is based on the cubature Kalman filter and the Gaussian Particle filter. The cubature Kalman filter is used to calculate the estimate value and the covariance matrix in the observation update for the distribution function, which is sampled as the importance density function for the Gaussian Particle filter. The simulation results demonstrate the novel filter has better estimation performance than the unscented Kalman filter and the Gaussian Particle filter in the initial alignment.

源语言英语
主期刊名Proceedings - 2010 1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010
1196-1200
页数5
DOI
出版状态已出版 - 2010
活动1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010 - Harbin, 中国
期限: 17 9月 201019 9月 2010

出版系列

姓名Proceedings - 2010 1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010

会议

会议1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010
国家/地区中国
Harbin
时期17/09/1019/09/10

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