Warhead tracking based on probabilistic data association filter with feature information

Seul Ki Han, Won Sang Ra, Jin Bae Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper presents the novel and efficient warhead tracking filter based on probabilistic data association (PDA) scheme for FMCW radar seeker with anti-ballistic capability. In frequency domain, the warhead tracking problem can be cast into a difficult data-association problem because multiple and closely located frequency measurements are generated by scatterers of a ballistic missile and multi-path clutters. For enhancing the warhead detection and tracking performance, the proposed warhead tracking filter adopts the feature information about scatterers' appearance. The feature information indicates the possibility that the measured frequency measurement is originated from the scatterer in warhead section of ballistic missile. Utilizing the feature information, the proposed tracking filter is able to accurately separate the warhead frequency measurement from others. Moreover, for its simple structure, it is suitable for real-time implementation. Simulation results demonstrate the effectiveness and the reliability of the proposed solution over the conventional PDA based filter.

Original languageEnglish
Title of host publicationProceedings, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society
Pages3830-3835
Number of pages6
DOIs
Publication statusPublished - 2013 Dec 1
Event39th Annual Conference of the IEEE Industrial Electronics Society, IECON 2013 - Vienna, Austria
Duration: 2013 Nov 102013 Nov 14

Publication series

NameIECON Proceedings (Industrial Electronics Conference)

Other

Other39th Annual Conference of the IEEE Industrial Electronics Society, IECON 2013
CountryAustria
CityVienna
Period13/11/1013/11/14

Fingerprint

Ballistic missiles
Ballistics
Radar

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Han, S. K., Ra, W. S., & Park, J. B. (2013). Warhead tracking based on probabilistic data association filter with feature information. In Proceedings, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society (pp. 3830-3835). [6699746] (IECON Proceedings (Industrial Electronics Conference)). https://doi.org/10.1109/IECON.2013.6699746
Han, Seul Ki ; Ra, Won Sang ; Park, Jin Bae. / Warhead tracking based on probabilistic data association filter with feature information. Proceedings, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society. 2013. pp. 3830-3835 (IECON Proceedings (Industrial Electronics Conference)).
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abstract = "This paper presents the novel and efficient warhead tracking filter based on probabilistic data association (PDA) scheme for FMCW radar seeker with anti-ballistic capability. In frequency domain, the warhead tracking problem can be cast into a difficult data-association problem because multiple and closely located frequency measurements are generated by scatterers of a ballistic missile and multi-path clutters. For enhancing the warhead detection and tracking performance, the proposed warhead tracking filter adopts the feature information about scatterers' appearance. The feature information indicates the possibility that the measured frequency measurement is originated from the scatterer in warhead section of ballistic missile. Utilizing the feature information, the proposed tracking filter is able to accurately separate the warhead frequency measurement from others. Moreover, for its simple structure, it is suitable for real-time implementation. Simulation results demonstrate the effectiveness and the reliability of the proposed solution over the conventional PDA based filter.",
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Han, SK, Ra, WS & Park, JB 2013, Warhead tracking based on probabilistic data association filter with feature information. in Proceedings, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society., 6699746, IECON Proceedings (Industrial Electronics Conference), pp. 3830-3835, 39th Annual Conference of the IEEE Industrial Electronics Society, IECON 2013, Vienna, Austria, 13/11/10. https://doi.org/10.1109/IECON.2013.6699746

Warhead tracking based on probabilistic data association filter with feature information. / Han, Seul Ki; Ra, Won Sang; Park, Jin Bae.

Proceedings, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society. 2013. p. 3830-3835 6699746 (IECON Proceedings (Industrial Electronics Conference)).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Han SK, Ra WS, Park JB. Warhead tracking based on probabilistic data association filter with feature information. In Proceedings, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society. 2013. p. 3830-3835. 6699746. (IECON Proceedings (Industrial Electronics Conference)). https://doi.org/10.1109/IECON.2013.6699746