Paper
4 January 2006 Fault-tolerant integrated navigation system based on neural network information fusion
Ming He, Guangbin Liu, Dawei Zhao
Author Affiliations +
Proceedings Volume 5985, International Conference on Space Information Technology; 59853W (2006) https://doi.org/10.1117/12.658214
Event: International Conference on Space information Technology, 2005, Wuhan, China
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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ming He, Guangbin Liu, and Dawei Zhao "Fault-tolerant integrated navigation system based on neural network information fusion", Proc. SPIE 5985, International Conference on Space Information Technology, 59853W (4 January 2006); https://doi.org/10.1117/12.658214
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KEYWORDS
Neural networks

Navigation systems

Information fusion

Sensors

Filtering (signal processing)

Global Positioning System

Fuzzy logic

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