Particle-filter-based human target tracking in image domain for through-wall imaging radar
| Autor: | Guohao Chen, Guolong Cui, Lingjiang Kong, Shisheng Guo, Lingxiao Cao |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
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 Engineering (General). Civil engineering (General) TA1-2040 |
| Zdroj: | The Journal of Engineering (2019) |
| Druh dokumentu: | article |
| ISSN: | 2051-3305 |
| DOI: | 10.1049/joe.2019.0178 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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