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Odometer aided in-motion alignment based on strong tracking filter for land vehicles

  • Beijing Institute of Technology

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In-motion alignment of strap-down inertial navigation system (SINS) for land use is researched in this paper. Alignment process is accomplished in 10 minutes by using the information from a combined odometer whose installation angles from vehicle body frame (VBF) to INS body frame is not calibrated. The difference of the SINS velocity result and the odometer measured velocity projected to navigation coordinate is taken as the measurement for the filter. Focusing on the problem that the statistic property of measurement noise is vague causing by the installation angles and the inconstant scale factor error of odometer, a strong tracking kalman filter (STKF) is employed and designed in the in-motion alignment of the SINS/OD integration navigation system. The experiment result shows that compared with traditional kalman filter (KF), STKF has faster convergence speed and higher accuracy, particularly in azimuth error improved greatly.

源语言英语
主期刊名Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012
1514-1517
页数4
DOI
出版状态已出版 - 2012
活动2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012 - Xi'an, 中国
期限: 23 8月 201225 8月 2012

丛书

姓名Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012

会议

会议2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012
国家/地区中国
Xi'an
时期23/08/1225/08/12

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 15 - 陆地生物
    可持续发展目标 15 陆地生物

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