Particle-filter-based human target tracking in image domain for through-wall imaging radar

Abstract

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.

Keywords

• target tracking
• ultra wideband radar
• particle filtering (numerical methods)
• radar imaging
• particle-filter-based human target tracking
• image domain
• through-wall imaging radar
• tracking problem
• hidden human targets
• time-division multiple-input-multiple-output
• efficient image-domain tracking algorithm
• back-projection algorithm
• phase coherence factor
• multiframe high quality images
• amplitude-distribution-based particle filter
• hidden target tracking