Research on Fuzzy Robust Adaptive Unscented Particle Filtering

被引：0
|
作者：
Gao Yi [1 ]
Gao Shesheng [1 ]
机构：
[1] NW Polytech Univ, Sch Automat, Xian 710072, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON GRAPHIC AND IMAGE PROCESSING (ICGIP 2011) | 2011年 / 8285卷
关键词：
fuzzy control theory; equivalent weight; robust adaptive Unscented particle filtering; NONLINEAR-SYSTEMS; PERFORMANCE;
D O I：
10.1117/12.913581
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
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收藏
页数：8
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