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Proceedings Paper

Fault-tolerant integrated navigation system based on neural network information fusion
Author(s): Ming He; Guangbin Liu; Dawei Zhao
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Paper Abstract

A fault-tolerant integrated navigation system based on neural network information fusion is designed. The neural network filter is used firstly to take the place of the traditional Kalman filter, then the fuzzy neural network is used to detect fault and the neurons for information fusion are used at last. The simulation results show that this approach is effective.

Paper Details

Date Published: 4 January 2006
PDF: 5 pages
Proc. SPIE 5985, International Conference on Space Information Technology, 59853W (4 January 2006); doi: 10.1117/12.658214
Show Author Affiliations
Ming He, Xi'an Research Institute of High Technology (China)
Guangbin Liu, Xi'an Research Institute of High Technology (China)
Dawei Zhao, Xi'an Research Institute of High Technology (China)
Northwestern Polytechnical Univ. (China)


Published in SPIE Proceedings Vol. 5985:
International Conference on Space Information Technology
Cheng Wang; Shan Zhong; Xiulin Hu, Editor(s)

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