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Proceedings Paper

A particle filter for multi-target tracking in track before detect context
Author(s): Naima Amrouche; Ali Khenchaf; Daoud Berkani
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Paper Abstract

The track-before-detect (TBD) approach can be used to track a single target in a highly noisy radar scene. This is because it makes use of unthresholded observations and incorporates a binary target existence variable into its target state estimation process when implemented as a particle filter (PF). This paper proposes the recursive PF-TBD approach to detect multiple targets in low-signal-to noise ratios (SNR). The algorithm’s successful performance is demonstrated using a simulated two target example.

Paper Details

Date Published: 18 October 2016
PDF: 6 pages
Proc. SPIE 10004, Image and Signal Processing for Remote Sensing XXII, 100041O (18 October 2016); doi: 10.1117/12.2242075
Show Author Affiliations
Naima Amrouche, Ecole Nationale Polytechnique (Algeria)
Lab-STICC, CNRS, ENSTA Bretagne (France)
Ali Khenchaf, Lab-STICC, CNRS, ENSTA Bretagne (France)
Daoud Berkani, Ecole Nationale Polytechnique (Algeria)

Published in SPIE Proceedings Vol. 10004:
Image and Signal Processing for Remote Sensing XXII
Lorenzo Bruzzone; Francesca Bovolo, Editor(s)

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