An extended target tracking method with random finite set observations

  • Hongyan Zhu
  • , Chongzhao Han
  • , Chen Li

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

21 Scopus citations

Abstract

A target is denoted extended when the target extent is larger than the sensor resolution. A tracking algorithm should be capable of estimating the target extent in addition to the state of the centroid. This paper addresses the problem of tracking an extended target with unknown parameter about the target extent. The extended target is regarded as a spatial distribution model, and the target extent is considered as a mixture of multiple probability distributions in this paper. The EM algorithm is utilized to estimate the unknown parameters about target extent, and also a particle implementation of the presented method is given. Simulation results validate the effectiveness of the presented method.

Original languageEnglish
Title of host publicationFusion 2011 - 14th International Conference on Information Fusion
StatePublished - 2011
Event14th International Conference on Information Fusion, Fusion 2011 - Chicago, IL, United States
Duration: 5 Jul 20118 Jul 2011

Publication series

NameFusion 2011 - 14th International Conference on Information Fusion

Conference

Conference14th International Conference on Information Fusion, Fusion 2011
Country/TerritoryUnited States
CityChicago, IL
Period5/07/118/07/11

Keywords

  • Extended target
  • Random finite sets
  • Target extent

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