18 October 2016 A particle filter for multi-target tracking in track before detect context
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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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Naima Amrouche, Ali Khenchaf, 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); doi: 10.1117/12.2242075; https://doi.org/10.1117/12.2242075
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