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A particle filter for multitargets tracking in track before detect context

Ali Khenchaf 1, 2 Naima Amrouche 1, 2 Daoud Berkani 3
1 Lab-STICC_ENSTAB_MOM_PIM
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
2 Pôle STIC_REMS
ENSTA Bretagne - École Nationale Supérieure de Techniques Avancées Bretagne
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.
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https://hal.archives-ouvertes.fr/hal-01653554
Contributor : Annick Billon-Coat <>
Submitted on : Friday, December 1, 2017 - 3:25:25 PM
Last modification on : Wednesday, May 26, 2021 - 11:16:56 AM

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Ali Khenchaf, Naima Amrouche, Daoud Berkani. A particle filter for multitargets tracking in track before detect context. SPIE Remote Sensing, Sep 2016, Edinburgh, United Kingdom. ⟨10.1117/12.2242075⟩. ⟨hal-01653554⟩

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