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A Hybrid Location Algorithm Based on BP neural Networks with Multilayer Data Fusion

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3 Author(s)
Ping Zhao ; Northwestern Polytechnical University, China ; Lingyan Li ; Haoshan Shi

In this paper, a hybrid location algorithm based on BP neural network with multi-layer data fusion is proposed to carry out hybrid location of space probe's position and attitude according to the multi parameter characteristic. As the algorithm model with multi-layer data fusion is built, the former data fusion pattern for hybrid location is developed and improved. In the paper the hybrid location algorithm with image vector recognition based on BP neural network is simulated to verify image location estimate and hybrid location with multi-layer data fusion. The simulation result shows that the algorithm of hybrid location is provided with indubitable feasibility, validity and precision.

Published in:

Third International Conference on Natural Computation (ICNC 2007)  (Volume:1 )

Date of Conference:

24-27 Aug. 2007