A multi-model track-before-detect algorithm for manoeuvring target detection for over-the-horizon radar

Zeng Fu Wang, Zhang Mei, Liang Yan, Pan Quan

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

3 Scopus citations

Abstract

In this paper a multi-model track-before-detect (MM-TBD) is proposed for the HF Over-The-Horizon-Radar (OTHR) manoeuvring target detection. Multiple hypotheses about target manoeuvres and echo sources are represented in the multi-model-estimation framework with each sub-filter corresponding to one hypothesis. The track output of each sub-filter is obtained based on the maximum likelihood criterion and then a generalized likelihood ratio for hypothesis test is presented to target detection. A numerical simulation is presented to show the effectiveness of the proposed algorithm.

Original languageEnglish
Title of host publicationEuropean Microwave Week 2010, EuMW2010
Subtitle of host publicationConnecting the World, Conference Proceedings - European Radar Conference, EuRAD 2010
Pages463-466
Number of pages4
StatePublished - 2010
Event13th European Microwave Week 2010, EuMW2010: Connecting the World - 7th European Radar Conference, EuRAD 2010 - Paris, France
Duration: 30 Sep 20101 Oct 2010

Publication series

NameEuropean Microwave Week 2010, EuMW2010: Connecting the World, Conference Proceedings - European Radar Conference, EuRAD 2010

Conference

Conference13th European Microwave Week 2010, EuMW2010: Connecting the World - 7th European Radar Conference, EuRAD 2010
Country/TerritoryFrance
CityParis
Period30/09/101/10/10

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