Multiple target track-before-detect in compound Gaussian clutter

Samuel P. Ebenezer; Antonia Papandreou-Suppappola

doi:10.1109/ICASSP.2015.7178429

Multiple target track-before-detect in compound Gaussian clutter

Samuel P. Ebenezer, Antonia Papandreou-Suppappola

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Scopus citations

Abstract

In this paper, we extend the multiple transition mode track- before-detect (TBD) algorithm to track multiple low observable targets in compound Gaussian sea clutter. The proposed TBD framework uses the un-thresholded fast time radar measurements to track multiple targets in low signal-to-clutter ratios (SCRs). The TBD is implemented using particle filtering (PF), and we derive the generalized likelihood ratio needed to update the particle weights. The maximum likelihood estimate of the texture and the covariance matrix of the speckle are also derived and implemented using a fixed point algorithm. The tracking performance of the proposed algorithm is investigated using three low observable targets that enter and leave the field of view (FOV) at different time steps and under varying environmental conditions.

Original language	English (US)
Title of host publication	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2539-2543
Number of pages	5
Volume	2015-August
ISBN (Print)	9781467369978
DOIs	https://doi.org/10.1109/ICASSP.2015.7178429
State	Published - Aug 4 2015
Event	40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Brisbane, Australia Duration: Apr 19 2014 → Apr 24 2014

Other

Other	40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015
Country	Australia
City	Brisbane
Period	4/19/14 → 4/24/14

ASJC Scopus subject areas

Signal Processing
Software
Electrical and Electronic Engineering

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Multiple target track-before-detect in compound Gaussian clutter. / Ebenezer, Samuel P.; Papandreou-Suppappola, Antonia.

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 2015-August Institute of Electrical and Electronics Engineers Inc., 2015. p. 2539-2543 7178429.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ebenezer, SP & Papandreou-Suppappola, A 2015, Multiple target track-before-detect in compound Gaussian clutter. in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. vol. 2015-August, 7178429, Institute of Electrical and Electronics Engineers Inc., pp. 2539-2543, 40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015, Brisbane, Australia, 4/19/14. https://doi.org/10.1109/ICASSP.2015.7178429

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abstract = "In this paper, we extend the multiple transition mode track- before-detect (TBD) algorithm to track multiple low observable targets in compound Gaussian sea clutter. The proposed TBD framework uses the un-thresholded fast time radar measurements to track multiple targets in low signal-to-clutter ratios (SCRs). The TBD is implemented using particle filtering (PF), and we derive the generalized likelihood ratio needed to update the particle weights. The maximum likelihood estimate of the texture and the covariance matrix of the speckle are also derived and implemented using a fixed point algorithm. The tracking performance of the proposed algorithm is investigated using three low observable targets that enter and leave the field of view (FOV) at different time steps and under varying environmental conditions.",

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N2 - In this paper, we extend the multiple transition mode track- before-detect (TBD) algorithm to track multiple low observable targets in compound Gaussian sea clutter. The proposed TBD framework uses the un-thresholded fast time radar measurements to track multiple targets in low signal-to-clutter ratios (SCRs). The TBD is implemented using particle filtering (PF), and we derive the generalized likelihood ratio needed to update the particle weights. The maximum likelihood estimate of the texture and the covariance matrix of the speckle are also derived and implemented using a fixed point algorithm. The tracking performance of the proposed algorithm is investigated using three low observable targets that enter and leave the field of view (FOV) at different time steps and under varying environmental conditions.

AB - In this paper, we extend the multiple transition mode track- before-detect (TBD) algorithm to track multiple low observable targets in compound Gaussian sea clutter. The proposed TBD framework uses the un-thresholded fast time radar measurements to track multiple targets in low signal-to-clutter ratios (SCRs). The TBD is implemented using particle filtering (PF), and we derive the generalized likelihood ratio needed to update the particle weights. The maximum likelihood estimate of the texture and the covariance matrix of the speckle are also derived and implemented using a fixed point algorithm. The tracking performance of the proposed algorithm is investigated using three low observable targets that enter and leave the field of view (FOV) at different time steps and under varying environmental conditions.

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Multiple target track-before-detect in compound Gaussian clutter

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