Multitarget particle filter addressing ambiguous radar data in TBD

Melanie Bocquel, H. Driessen, Arunabha Bagchi

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

15 Citations (Scopus)

Abstract

In this paper, we have addressed the problem of multiple target tracking in Track-Before-Detect (TBD) context using ambiguous Radar data. TBD is a method which uses raw measurement data, i.e. reflected target power, to track targets. Tracking can be defined as the estimation of the state of a moving object based on measurements. These measurements are in this case assumed to be the radar echoes ambiguous in range and doppler. The estimated states are produced by means of a tracking filter. The filtering problem has been solved by using a Particle Filter (PF). Particle filtering is a signal processing methodology, which can effectively deal with nonlinear and non-Gaussian signals by a sample-based approximation of the state probability density function (pdf). A standard multitarget SIR Particle Filter is extended so that it can handle range/doppler ambiguities and eclipsing effects. Such extension is required for its use in practice and to enhance tracking accuracy. The proposed particle filter succeeds in resolving range and doppler ambiguities, detecting and tracking multiple targets in a TBD context.
Original languageUndefined
Title of host publicationProceedings of the 2012 IEEE National Radar Conference
Place of PublicationUSA
PublisherIEEE
Pages0575-0580
Number of pages6
ISBN (Print)978-1-4673-0656-0
DOIs
Publication statusPublished - 2012

Publication series

Name
PublisherIEEE
ISSN (Print)1097-5659

Keywords

  • EWI-23058
  • IR-84236
  • METIS-296295

Cite this

Bocquel, M., Driessen, H., & Bagchi, A. (2012). Multitarget particle filter addressing ambiguous radar data in TBD. In Proceedings of the 2012 IEEE National Radar Conference (pp. 0575-0580). USA: IEEE. https://doi.org/10.1109/RADAR.2012.6212206
Bocquel, Melanie ; Driessen, H. ; Bagchi, Arunabha. / Multitarget particle filter addressing ambiguous radar data in TBD. Proceedings of the 2012 IEEE National Radar Conference. USA : IEEE, 2012. pp. 0575-0580
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Bocquel, M, Driessen, H & Bagchi, A 2012, Multitarget particle filter addressing ambiguous radar data in TBD. in Proceedings of the 2012 IEEE National Radar Conference. IEEE, USA, pp. 0575-0580. https://doi.org/10.1109/RADAR.2012.6212206

Multitarget particle filter addressing ambiguous radar data in TBD. / Bocquel, Melanie; Driessen, H.; Bagchi, Arunabha.

Proceedings of the 2012 IEEE National Radar Conference. USA : IEEE, 2012. p. 0575-0580.

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

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PY - 2012

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N2 - In this paper, we have addressed the problem of multiple target tracking in Track-Before-Detect (TBD) context using ambiguous Radar data. TBD is a method which uses raw measurement data, i.e. reflected target power, to track targets. Tracking can be defined as the estimation of the state of a moving object based on measurements. These measurements are in this case assumed to be the radar echoes ambiguous in range and doppler. The estimated states are produced by means of a tracking filter. The filtering problem has been solved by using a Particle Filter (PF). Particle filtering is a signal processing methodology, which can effectively deal with nonlinear and non-Gaussian signals by a sample-based approximation of the state probability density function (pdf). A standard multitarget SIR Particle Filter is extended so that it can handle range/doppler ambiguities and eclipsing effects. Such extension is required for its use in practice and to enhance tracking accuracy. The proposed particle filter succeeds in resolving range and doppler ambiguities, detecting and tracking multiple targets in a TBD context.

AB - In this paper, we have addressed the problem of multiple target tracking in Track-Before-Detect (TBD) context using ambiguous Radar data. TBD is a method which uses raw measurement data, i.e. reflected target power, to track targets. Tracking can be defined as the estimation of the state of a moving object based on measurements. These measurements are in this case assumed to be the radar echoes ambiguous in range and doppler. The estimated states are produced by means of a tracking filter. The filtering problem has been solved by using a Particle Filter (PF). Particle filtering is a signal processing methodology, which can effectively deal with nonlinear and non-Gaussian signals by a sample-based approximation of the state probability density function (pdf). A standard multitarget SIR Particle Filter is extended so that it can handle range/doppler ambiguities and eclipsing effects. Such extension is required for its use in practice and to enhance tracking accuracy. The proposed particle filter succeeds in resolving range and doppler ambiguities, detecting and tracking multiple targets in a TBD context.

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Bocquel M, Driessen H, Bagchi A. Multitarget particle filter addressing ambiguous radar data in TBD. In Proceedings of the 2012 IEEE National Radar Conference. USA: IEEE. 2012. p. 0575-0580 https://doi.org/10.1109/RADAR.2012.6212206