A particle filter for multi-target tracking in track before detect context

Naima Amrouche; Ali Khenchaf; Daoud Berkani

doi:10.1117/12.2242075

18 October 2016 A particle filter for multi-target tracking in track before detect context

Naima Amrouche, Ali Khenchaf, Daoud Berkani

Proceedings Volume 10004, Image and Signal Processing for Remote Sensing XXII; 100041O (2016) https://doi.org/10.1117/12.2242075
Event: SPIE Remote Sensing, 2016, Edinburgh, United Kingdom

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.

Citation Download Citation

Naima Amrouche, Ali Khenchaf, and Daoud Berkani "A particle filter for multi-target tracking in track before detect context", Proc. SPIE 10004, Image and Signal Processing for Remote Sensing XXII, 100041O (18 October 2016); https://doi.org/10.1117/12.2242075

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