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PF-UKF-RJMCMC approaches for radar target-tracking

  • Northwestern Polytechnical University Xian

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

1 Scopus citations

Abstract

Nonlinear problem of maneuvering target is a hot and difficult topic in radar target tracking fielding. This paper outline the the pros and cons of non-linear filtering methods nowdays, emphatically analyses uncertainty sampling and random sampling method, describe Markov chain Monte Carlo algorithms, along with Reversible Jump ratio improving methods. and try to present a comprehensive picture of the performance comparison among classical tracking methods combining RJMCMC, including PF, EKF-PF, UKF-PF techniques from the varied literature that have seen wide application in Radar target tracking field. Simulations on maneuvering target radar tracking are carried out to validate the performance of the proposed scheme in comparison with existing methods.

Original languageEnglish
Title of host publicationProceedings - 2009 International Conference on Information Technology and Computer Science, ITCS 2009
Pages373-376
Number of pages4
DOIs
StatePublished - 2009
Event2009 International Conference on Information Technology and Computer Science, ITCS 2009 - Kiev, Ukraine
Duration: 25 Jul 200926 Jul 2009

Publication series

NameProceedings - 2009 International Conference on Information Technology and Computer Science, ITCS 2009
Volume2

Conference

Conference2009 International Conference on Information Technology and Computer Science, ITCS 2009
Country/TerritoryUkraine
CityKiev
Period25/07/0926/07/09

Keywords

  • Nonlinear
  • RJMCMC
  • Target tracking
  • UPF

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