A biological inspired improvement strategy for particle filters

J. P. Zhong, Y. F. Fung

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

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 - 19 May 2009
Event2009 IEEE International Conference on Industrial Technology, ICIT 2009 - Churchill, VIC, Australia
Duration: 10 Feb 200913 Feb 2009

Publication series

NameProceedings of the IEEE International Conference on Industrial Technology

Conference

Conference2009 IEEE International Conference on Industrial Technology, ICIT 2009
Country/TerritoryAustralia
CityChurchill, VIC
Period10/02/0913/02/09

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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