A biological inspired improvement strategy for particle filters

J. P. Zhong, Y. F. Fung

研究成果: Conference contribution

5 引用 (Scopus)

抜粋

Particle Filters (PF) is a model estimation technique based on simulation. But two problems, namely particle impoverishment and sample size dependency, frequently occur during the particle updating stage and these problems will reduce the accuracy of the estimation results. In order to avoid these problems, Ant Colony Optimization is incorporated into the generic particle filter before the updating stage. After the optimization, particle samples will move closer to their local highest posterior density function and better estimation results can be produced.

元の言語English
ホスト出版物のタイトル2009 IEEE International Conference on Industrial Technology, ICIT 2009
DOI
出版物ステータスPublished - 2009
外部発表Yes
イベント2009 IEEE International Conference on Industrial Technology, ICIT 2009 - Churchill, VIC, Australia
継続期間: 2009 2 102009 2 13

Other

Other2009 IEEE International Conference on Industrial Technology, ICIT 2009
Australia
Churchill, VIC
期間09/2/1009/2/13

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications

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  • これを引用

    Zhong, J. P., & Fung, Y. F. (2009). A biological inspired improvement strategy for particle filters. : 2009 IEEE International Conference on Industrial Technology, ICIT 2009 [4939539] https://doi.org/10.1109/ICIT.2009.4939539