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| Content Provider | IET Digital Library |
|---|---|
| Author | Du, Hao Jin, Tian Li, Meng Song, Yongping Dai, Yongpeng |
| Abstract | The micro-Doppler effect is a useful signature for classifying various human behaviours. However, most micro-Doppler researches assume that only a single moving target exists during the observation. Their works lack in separating micro-motion features from multi-movers. When more than one target is present, their performance will deteriorate heavily. To address this issue, the authors design a new 3D (three-dimensional) model, range–velocity–time points, to separate and describe multi-mover micro-motions measured by the ultra-wideband radar. These 3D points contain the range–velocity–time information simultaneously. By dividing points in the 3D space instead of single Doppler domain, micro-Doppler signatures of each target can be separated effectively. Multi-people motion simulation results verify the effectiveness of the authors' method. |
| Starting Page | 1247 |
| Ending Page | 1249 |
| Page Count | 3 |
| ISSN | 00135194 |
| Volume Number | 55 |
| e-ISSN | 1350911X |
| Issue Number | Issue 23, Nov (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/el/55/23 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/el.2019.2419 |
| Journal | Electronics Letters |
| Publisher Date | 2019-09-25 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Doppler Radar Human Behaviour Image Classification Image Motion Analysis Image Recognition MicroDoppler Effect MicroDoppler Signatures Multimover Micromotions Multipeople Motion Simulation Object Detection Radar Equipment Radar Imaging Single Moving Target System And Application Ultra Wideband Radar |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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