A Viterbi data association algorithm based on adaptive clutter density model

Zengfu Wang, Quan Pan, Yan Liang

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

Abstract

There are many false tracks which are produced by large of non-uniform and non-stationary distributed false clutters in the OTHR target tracking. To solve this problem, an adaptive clutter model is introduced into the Viterbi data association algorithm, and on this basis an adaptive clutter model Viterbi data association (ACM-VDA) algorithm is put forward. Simulation results show that the number of false of ACM-VDA algorithm will be much less than that of VDA algorithm and VDA-AI algorithm.

Original languageEnglish
Title of host publicationProceedings of the 29th Chinese Control Conference, CCC'10
Pages2818-2822
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

  • Adaptive clutter density model
  • Over-the-horizon radar
  • Viterbi data association

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