Central difference Gaussian Particle filter for initial alignment of strapdown inertial navigation system

Shoucai Sun*, Chunlei Song, Junhou Wang, Xingtai Yao, Ling Xie

*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

摘要

The error model of the initial alignment of the marine strapdown inertial navigation system is nonlinear, while the azimuth angle error is large on the swaying base. For this nonlinear model, a new nonlinear filter called as the central difference Gaussian Particle filter is proposed, which is based on the central difference Kalman filter and the Gaussian Particle filter. The central difference 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 for the initial alignment.

源语言英语
主期刊名Proceedings of 2010 International Conference on Intelligent Control and Information Processing, ICICIP 2010
97-101
页数5
版本PART 2
DOI
出版状态已出版 - 2010
活动2010 International Conference on Intelligent Control and Information Processing, ICICIP 2010 - Dalian, 中国
期限: 13 8月 201015 8月 2010

出版系列

姓名Proceedings of 2010 International Conference on Intelligent Control and Information Processing, ICICIP 2010
编号PART 2

会议

会议2010 International Conference on Intelligent Control and Information Processing, ICICIP 2010
国家/地区中国
Dalian
时期13/08/1015/08/10

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