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Maneuvering target tracking with simplified cost reference particle filters

  • Stony Brook University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

In this paper, we investigate different variants of the recently proposed cost-reference particle filters (CRPFs) and study their application to the problem of tracking of a high-speed maneuvering target in the two-dimensional space. CRPFs drop all probabilistic assumptions required by conventional particle filters and, as a consequence, lead to practically more robust algorithms. We introduce some suitable and natural modifications of CRPFs in order to increase their efficiency and reduce their computational complexity. Computer simulations are provided to illustrate the performance of the new alternatives.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings
PagesIV937-IV940
StatePublished - 2006
Event2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006 - Toulouse, France
Duration: May 14 2006May 19 2006

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume4
ISSN (Print)1520-6149

Conference

Conference2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006
Country/TerritoryFrance
CityToulouse
Period05/14/0605/19/06

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