Robust Detection of Moving Human Target in Foliage-Penetration Environment Based on Hough Transform
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 retur...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Spolecnost pro radioelektronicke inzenyrstvi
2014-04-01
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| Series: | Radioengineering |
| Subjects: | |
| Online Access: | http://www.radioeng.cz/fulltexts/2014/14_01_0003_0010.pdf |
| _version_ | 1811302697625714688 |
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| author | P. Lei X. Huang |
| author_facet | P. Lei X. Huang |
| author_sort | P. Lei |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T07:32:45Z |
| format | Article |
| id | doaj.art-a21c58a3eaec4bb2afabd0d0781756a7 |
| institution | Directory Open Access Journal |
| issn | 1210-2512 |
| language | English |
| last_indexed | 2024-04-13T07:32:45Z |
| publishDate | 2014-04-01 |
| publisher | Spolecnost pro radioelektronicke inzenyrstvi |
| record_format | Article |
| series | Radioengineering |
| spelling | doaj.art-a21c58a3eaec4bb2afabd0d0781756a72022-12-22T02:56:17ZengSpolecnost pro radioelektronicke inzenyrstviRadioengineering1210-25122014-04-01231310Robust Detection of Moving Human Target in Foliage-Penetration Environment Based on Hough TransformP. LeiX. HuangAttention 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.www.radioeng.cz/fulltexts/2014/14_01_0003_0010.pdfBistatic LFMCW ground radarfoliage-penetrationhuman target detectionHough transformmultipath mitigationtime-varying clutter suppression |
| spellingShingle | P. Lei X. Huang Robust Detection of Moving Human Target in Foliage-Penetration Environment Based on Hough Transform Radioengineering Bistatic LFMCW ground radar foliage-penetration human target detection Hough transform multipath mitigation time-varying clutter suppression |
| title | Robust Detection of Moving Human Target in Foliage-Penetration Environment Based on Hough Transform |
| title_full | Robust Detection of Moving Human Target in Foliage-Penetration Environment Based on Hough Transform |
| title_fullStr | Robust Detection of Moving Human Target in Foliage-Penetration Environment Based on Hough Transform |
| title_full_unstemmed | Robust Detection of Moving Human Target in Foliage-Penetration Environment Based on Hough Transform |
| title_short | Robust Detection of Moving Human Target in Foliage-Penetration Environment Based on Hough Transform |
| title_sort | robust detection of moving human target in foliage penetration environment based on hough transform |
| topic | Bistatic LFMCW ground radar foliage-penetration human target detection Hough transform multipath mitigation time-varying clutter suppression |
| url | http://www.radioeng.cz/fulltexts/2014/14_01_0003_0010.pdf |
| work_keys_str_mv | AT plei robustdetectionofmovinghumantargetinfoliagepenetrationenvironmentbasedonhoughtransform AT xhuang robustdetectionofmovinghumantargetinfoliagepenetrationenvironmentbasedonhoughtransform |