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Proceedings Paper

Research on fuzzy robust adaptive unscented particle filtering
Author(s): Yi Gao; Shesheng Gao
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Paper Abstract

This paper present a new fuzzy robust adaptive Unscented particle filtering method based on the fuzzy control theory. This method absorbs the advantages of the fuzzy control theory, the robust adaptive filtering and the Unscented particle filtering. Using the influence of the gross errors in the observation vectors on the state vector parameters to obtain the robust adaptive Unscented particle filtering model. Experiment results and comparison analysis demonstrate that this proposed methodology provides an effective solution for improving the positioning accuracy in navigation system.

Paper Details

Date Published: 1 October 2011
PDF: 8 pages
Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82852N (1 October 2011); doi: 10.1117/12.913581
Show Author Affiliations
Yi Gao, Northwestern Polytechnical Univ. (China)
Shesheng Gao, Northwestern Polytechnical Univ. (China)


Published in SPIE Proceedings Vol. 8285:
International Conference on Graphic and Image Processing (ICGIP 2011)
Yi Xie; Yanjun Zheng, Editor(s)

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