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Tracking of multiple targets in clutter using optimal sets based on linear programming

  • Xiaoyan Fu*
  • , Yingmin Jia
  • , Shiying Yuan
  • *Corresponding author for this work
  • Beihang University
  • Henan Polytechnic University

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

Abstract

This paper is devoted to the problem of tracking multiple targets in clutter and a new methods is presented. We first formulate the data assignments problem of measurement-to-target as a linear programming problem. Through using the linear programming (LP)-based branch-and-bound method and adjusting the constraint conditions, the optimal sets based on linear programming (LP-OS) method is presented then for tracking of multiple targets in clutter. Extensive Monte Carlo simulations show that the presented method can obtain better estimation than the optimization method of linear programming problem, especially, in the situation of multi-clutter and high measurement noise.

Original languageEnglish
Title of host publication2009 Chinese Control and Decision Conference, CCDC 2009
Pages4892-4897
Number of pages6
DOIs
StatePublished - 2009
Event2009 Chinese Control and Decision Conference, CCDC 2009 - Guilin, China
Duration: 17 Jun 200919 Jun 2009

Publication series

Name2009 Chinese Control and Decision Conference, CCDC 2009

Conference

Conference2009 Chinese Control and Decision Conference, CCDC 2009
Country/TerritoryChina
CityGuilin
Period17/06/0919/06/09

Keywords

  • Linear programming
  • Multiple targets tracking
  • Optimal sets

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