A biological inspired improvement strategy for particle filters

J. P. Zhong, Y. F. Fung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Industrial Technology, ICIT 2009
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2009 IEEE International Conference on Industrial Technology, ICIT 2009 - Churchill, VIC, Australia
Duration: 2009 Feb 102009 Feb 13

Other

Other2009 IEEE International Conference on Industrial Technology, ICIT 2009
CountryAustralia
CityChurchill, VIC
Period09/2/1009/2/13

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications

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