シャ　キンカ   Jinhua She   佘　錦華    所属   工学部 機械工学科    職種   教授
言語種別	英語
発行・発表の年月	2012/08
形態種別	国際会議論文
査読	査読あり
標題	A Confidence Level Based New Adaptive Particle Filter Algorithm
執筆形態	共著
掲載誌名	The Fifth International Symposium on Computational Intelligence and Industrial Applications (ISCIIA2012)
出版社・発行元	International Fuzzy System Association
著者・共著者	Wentao Yu, Jun Peng, Xiaoyong Zhang, Xuzhi Lai, and Jinhua She
概要	The particle filter is a useful tool for the problems requiring dynamic state estimation. While the number of particles in the traditional particle filter is fixed, that can bring a lot of unnecessary computation and influence the real-time processing capability of the algorithm. To address this issue, a confidence level based new adaptive particle filter (NAPF) algorithm is proposed in this paper. In this algorithm the idea of confidence interval is utilized. The least number of particles for the next time instant is estimated according to the confidence level and the variance of the estimated state. Accordingly, an improved systematic re-sampling algorithm is utilized. This algorithm can effectively reduce the computation meanwhile ensuring certain accuracy. The simulation results verify the effectiveness of the algorithm.