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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2006, Vol. 7 Issue (10): 14-    DOI: 10.1631/jzus.2006.A1717
    
A filter algorithm for multi-measurement nonlinear system with parameter perturbation
GUO Yun-fei, WEI Wei, XUE An-ke, MAO Dong-cai
School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China; Institute of Intelligence Information and Control Technology, Hangzhou Dianzi University, Hangzhou 310018, China
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Abstract  An improved interacting multiple models particle filter (IMM-PF) algorithm is proposed for multi-measurement nonlinear system with parameter perturbation. It divides the perturbation region into sub-regions and assigns each of them a particle filter. Hence the perturbation problem is converted into a multi-model filters problem. It combines the multiple measurements into a fusion value according to their likelihood function. In the simulation study, we compared it with the IMM-KF and the H-infinite filter; the results testify to its advantage over the other two methods.

Key words： IMM-PF      Parameter perturbation      Multi-measurement     
Received: 20 December 2005     
CLC:  TP13  
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GUO Yun-fei
WEI Wei
XUE An-ke
MAO Dong-cai
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GUO Yun-fei, WEI Wei, XUE An-ke, MAO Dong-cai. A filter algorithm for multi-measurement nonlinear system with parameter perturbation. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2006, 7(10): 14-.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2006.A1717     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2006/V7/I10/14

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