A fuzzy adaptive GPS/INS integrated navigation algorithm

Mingwei Liu, Fenfen Xiong*

*此作品的通讯作者

科研成果: 期刊稿件会议文章同行评审

15 引用 (Scopus)

摘要

The statistical properties of the measurement noise of the missile-borne navigation system would vary under different actual working conditions. To address this issue, a fuzzy logic adaptive Kalman filtering based missile-borne GPS/INS integrated navigation algorithm is proposed in this paper. By monitoring the output parameter PDOP of the GPS receiver, the fuzzy logic adaptive controller is utilized to modify the measurement noise variance of the Kalman filter. Thus the Kalman filter can be adjusted to the optimal state, which eventually improves the accuracy of the integrated navigation system. The simulation results show that the proposed algorithm has strong adaptability to the time-varying measurement noise, and outperforms the conventional Kalman filter algorithm by providing more accurate solutions.

源语言英语
页(从-至)660-664
页数5
期刊Procedia Engineering
15
DOI
出版状态已出版 - 2011
活动2011 International Conference on Advanced in Control Engineering and Information Science, CEIS 2011 - Dali, Yunnam, 中国
期限: 18 8月 201119 8月 2011

指纹

探究 'A fuzzy adaptive GPS/INS integrated navigation algorithm' 的科研主题。它们共同构成独一无二的指纹。

引用此

Liu, M., & Xiong, F. (2011). A fuzzy adaptive GPS/INS integrated navigation algorithm. Procedia Engineering, 15, 660-664. https://doi.org/10.1016/j.proeng.2011.08.123