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Particle‐filter‐based human target tracking in image domain for through‐wall imaging radar
Author(s) -
Chen Guohao,
Cui Guolong,
Kong Lingjiang,
Guo Shisheng,
Cao Lingxiao
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0178
Subject(s) - computer vision , tracking (education) , artificial intelligence , particle filter , computer science , radar , filter (signal processing) , domain (mathematical analysis) , algorithm , mathematics , psychology , telecommunications , pedagogy , mathematical analysis
This study deals with a tracking problem for hidden human targets using time‐division multiple‐input‐multiple‐output through‐wall imaging radar (TWIR). An efficient image‐domain tracking algorithm is proposed. Specifically, the authors first utilise back‐projection algorithm and the phase coherence factor (PCF) to obtain multi‐frame high quality images. Then a tracking algorithm via amplitude‐distribution‐based particle filter is proposed. Experimental data validates that this algorithm has a commendable effectiveness for hidden target tracking.

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