Name
Abstract | ||
|---|---|---|
This paper focuses on the problem of moving human target detection in foliage environment, which is a challenge in a radar system. As a matter of fact, owing to the rough surfaces of trunks, branches, and leaves, there is always a lot of multipath clutter remaining which will severely influence the detection performance. In the study, a method combined with entropy weighted coherent integration (EWCI) and the Hough transform is put forward. The method can effectively suppress not only the stationary clutter but also the multipath clutter. The nonline-of-sight (NLOS) foliage-penetration measurements are set up and the results prove the superiority of our method. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/IGARSS.2013.6723364 | IGARSS |
Keywords | Field | DocType |
detection performance,stationary clutter,bistatic ground radar,nonline-of-sight foliage-penetration measurements,moving human target detection,entropy weighted coherent integration (ewci),ewci,foliage environments,multipath clutter,radar detection,rough surfaces,object detection,foliage penetration,hough transform,entropy,radar clutter,hough transforms,nlos,entropy weighted coherent integration | Continuous-wave radar,Multipath propagation,Object detection,Computer vision,Clutter,Computer science,Remote sensing,Hough transform,Artificial intelligence,Constant false alarm rate,Radar horizon,Stationary target indication | Conference |
Volume | Issue | ISSN |
null | null | 2153-6996 |
ISBN | Citations | PageRank |
978-1-4799-1114-1 | 0 | 0.34 |
References | Authors | |
1 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pengzheng Lei | 1 | 1 | 0.82 |
| Xiaotao Huang | 2 | 246 | 34.43 |
| Chongyi Fan | 3 | 1 | 1.40 |
| Kefeng Ji | 4 | 176 | 17.01 |
| Xianxiang Qin | 5 | 36 | 4.26 |