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Communication Dans Un Congrès Année : 2016

A particle filter for multitargets tracking in track before detect context

Résumé

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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Dates et versions

hal-01653554 , version 1 (01-12-2017)

Identifiants

Citer

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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