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Particle-filter-based human target tracking in image domain for through-wall imaging radar
oleh: Guohao Chen, Guolong Cui, Lingjiang Kong, Shisheng Guo, Lingxiao Cao
Format: | Article |
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Diterbitkan: | Wiley 2019-08-01 |
Deskripsi
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.