A detailed analysis of the ant colony optimization enhanced particle filters

Junpei Zhong, Yu Fai Fung

研究成果: Conference contribution

抄録

Particle filters, as a kind of non-linear/non-Gaussian estimation method, are suffered from two problems when applied to cases with large states dimensions, namely particle impoverishment and sample size dependency. Previous papers from the authors have proposed a novel particle filtering algorithm that incorporates Ant Colony Optimization (PF ACO), to alleviate effect induced by these problems. In this paper, we will provide a theoretical foundation of this new algorithm. A theorem that validates the PF ACO introduces a smaller Kullback-Leibler Divergence between the proposal distribution and the optimal one when comparing to those produced by the generic PF is discussed.

本文言語English
ホスト出版物のタイトルElectrical Engineering and Control - Selected Papers from the 2011 International Conference on Electric and Electronics, EEIC 2011
ページ641-648
ページ数8
98 LNEE
VOL. 2
DOI
出版ステータスPublished - 2011
外部発表はい
イベント2011 International Conference on Electric and Electronics, EEIC 2011 - Nanchang, China
継続期間: 2011 6 202011 6 22

出版物シリーズ

名前Lecture Notes in Electrical Engineering
番号VOL. 2
98 LNEE
ISSN(印刷版)18761100
ISSN(電子版)18761119

Other

Other2011 International Conference on Electric and Electronics, EEIC 2011
CountryChina
CityNanchang
Period11/6/2011/6/22

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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