Systematic biases estimation method based on combined PSO and PDA

Lin Zhou, Quan Pan, Yan Liang, Chao Guan

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

Abstract

In clutter background, in order to solve some problems including measurements echoes and systematic biases randomization, a new on-line systematic biases estimation method is proposed under dense clutters. Firstly, the association probabilities of measurements echoes are obtained by PDA method. Then, the objective function of optimization is constructed using association probabilities. Finally, the systematic biases are estimated by PSO optimization operation. The proposed algorithm considers the variety of systematic biases particles of PSO and measurements echoes of PDA, synthetically. Simulation results show that the proposed algorithm is a good method for systematic biases estimation in clutters.

Original languageEnglish
Title of host publicationProceedings of the 32nd Chinese Control Conference, CCC 2013
PublisherIEEE Computer Society
Pages4692-4697
Number of pages6
ISBN (Print)9789881563835
StatePublished - 18 Oct 2013
Event32nd Chinese Control Conference, CCC 2013 - Xi'an, China
Duration: 26 Jul 201328 Jul 2013

Publication series

NameChinese Control Conference, CCC
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference32nd Chinese Control Conference, CCC 2013
Country/TerritoryChina
CityXi'an
Period26/07/1328/07/13

Keywords

  • Biases Estimation
  • Particle Swarm Optimization (PSO)
  • Probability Data Association (PDA)
  • Systematic biases

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