Non-cooperative maneuvering target tracking based on smoothers

Hui Bo Zhao, Quan Pan, Yan Liang, Zhen Tao Hu

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

Abstract

This paper presents the problem of real-time tracking measurements of maneuvering target. discusses the optimal kalman smoother, introduced smooths methods, and compared the methods of Kalman filter and Kalman smoother, Unscented Kalman filter and Unscented Kalman smoother, Interacting Multiple Model Smoother(IMMF) based on the Multiple Model idea. Meanwhile, For the problem of nonliner based on the radar measurements and the target charicterristic, designed the classed scenes to teste the new methods, experiment results show the effectiveness.

Original languageEnglish
Title of host publicationProceedings of the 29th Chinese Control Conference, CCC'10
Pages786-790
Number of pages5
StatePublished - 2010
Event29th Chinese Control Conference, CCC'10 - Beijing, China
Duration: 29 Jul 201031 Jul 2010

Publication series

NameProceedings of the 29th Chinese Control Conference, CCC'10

Conference

Conference29th Chinese Control Conference, CCC'10
Country/TerritoryChina
CityBeijing
Period29/07/1031/07/10

Keywords

  • Interacting Multiple Model
  • Nonlinear filtering
  • UKS

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