The application of R-T-S smoothing algorithm in the post-processing of the integrated navigation

Sang Tian, Chen Jiabin, Song Chunlei, Yu Huan

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

Integrated navigation system usually uses Kalman filter to make it possible for error compensation. In order to improve the precision of navigation and the stability of data, we introduce the R-T-S (Rauch-Tung-Striebel) optimal fixed-interval smoothing into the post-processing of data. On the basis of the forward Kalman filter, we add the backward information filter to the system and use the measured data to verify the algorithm. The results show that compared with the traditional Kalman filter, the R-T-S optimal fixed-interval smoothing can not only improve the precision of the position and posture but can also improve the precision of navigation significantly in case of lock-lose, making it possible as an effective way of data processing.

源语言英语
主期刊名Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017
出版商Institute of Electrical and Electronics Engineers Inc.
197-201
页数5
ISBN(电子版)9781509046560
DOI
出版状态已出版 - 12 7月 2017
活动29th Chinese Control and Decision Conference, CCDC 2017 - Chongqing, 中国
期限: 28 5月 201730 5月 2017

出版系列

姓名Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017

会议

会议29th Chinese Control and Decision Conference, CCDC 2017
国家/地区中国
Chongqing
时期28/05/1730/05/17

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引用此

Tian, S., Jiabin, C., Chunlei, S., & Huan, Y. (2017). The application of R-T-S smoothing algorithm in the post-processing of the integrated navigation. 在 Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017 (页码 197-201). 文章 7978091 (Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCDC.2017.7978091