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A federal UKF algorithm in INS/GPS/aerial image integrated attitude determination system

  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

According to the attitude determination method based on aerial images, an INS/GPS/aerial-image integrated attitude determination system solutions was proposed to improve the airborne platform attitude determination accuracy and reliability. A federal Unscented Kalman Filter (UKF) algorithm based on optimization information distribution factor was used in the INS/GPS/aerial-image integrated system. The integrated system included INS/GPS and INS/aerial-image two subsystems, the outputs from two subsystems were fused in the main filter. Finally, optimal parameters of the system state estimation were obtained. Experimental results show that the proposed method well solves the error divergence problem over time with INS, and prevents the truncation error generated by EKF algorithm. The integrated attitude determination system can get higher precision and reliability.

源语言英语
主期刊名IST 2013 - 2013 IEEE International Conference on Imaging Systems and Techniques, Proceedings
60-63
页数4
DOI
出版状态已出版 - 2013
活动2013 IEEE International Conference on Imaging Systems and Techniques, IST 2013 - Beijing, 中国
期限: 22 10月 201323 10月 2013

出版系列

姓名IST 2013 - 2013 IEEE International Conference on Imaging Systems and Techniques, Proceedings

会议

会议2013 IEEE International Conference on Imaging Systems and Techniques, IST 2013
国家/地区中国
Beijing
时期22/10/1323/10/13

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