Robust Detection of Moving Human Target in Foliage-Penetration Environment Based on Hough Transform
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Date
2014-04
Authors
Lei, Pengzheng
Huang, Xiaotao
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Společnost pro radioelektronické inženýrství
Abstract
Attention has been focused on the robust moving human target detection in foliage-penetration environment, which presents a formidable task in a radar system because foliage is a rich scattering environment with complex multipath propagation and time-varying clutter. Generally, multiple-bounce returns and clutter are additionally superposed to direct-scatter echoes. They obscure true target echo and lead to poor visual quality time-range image, making target detection particular difficult. Consequently, an innovative approach is proposed to suppress clutter and mitigate multipath effects. In particular, a clutter suppression technique based on range alignment is firstly applied to suppress the time-varying clutter and the instable antenna coupling. Then entropy weighted coherent integration (EWCI) algorithm is adopted to mitigate the multipath effects. In consequence, the proposed method effectively reduces the clutter and ghosting artifacts considerably. Based on the high visual quality image, the target trajectory is detected robustly and the radial velocity is estimated accurately with the Hough transform (HT). Real data used in the experimental results are provided to verify the proposed method.
Description
Citation
Radioengineering. 2014, vol. 23, č. 1, s. 3-10. ISSN 1210-2512
www.radioeng.cz/fulltexts/2014/14_01_0003_0010.pdf
www.radioeng.cz/fulltexts/2014/14_01_0003_0010.pdf
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en