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| Content Provider | IET Digital Library |
|---|---|
| Author | Li, Rui Ma, Zhi qiang Zhang, Qun Luo, Ying Liang, Bi shuai Li, Guang ming |
| Abstract | The electromagnetic (EM) vortex imaging has been found to have a great potential application prospect in the imaging radar field. However, current studies focus on the motionless target, which seriously limits its application in practice. Therefore, to achieve EM vortex imaging for the motion target, this study proposes a parametric sparse representation model for EM vortex imaging that takes into account a translational motion target and uses the stepped frequency signal. An iterative algorithm is developed based on the sparse Bayesian learning (SBL) algorithm to estimate the velocity, and accomplish the EM vortex imaging exploiting SBL algorithm. Simulation results demonstrate that the proposed algorithm can improve velocity estimate accuracy in terms of relative error and achieve EM vortex imaging for the motion target. |
| Starting Page | 8002 |
| Ending Page | 8005 |
| Page Count | 4 |
| Volume Number | 2019 |
| e-ISSN | 20513305 |
| Issue Number | Issue 21, Nov (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2019/21 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0667 |
| Journal | The Journal of Engineering |
| Publisher | The Institution of Engineering and Technology |
| Publisher Date | 2019-08-13 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
| Subject Keyword | Bayes Method Computer Vision And Image Processing Technique Electromagnetic Vortex Imaging EM Vortex Imaging Great Potential Application Prospect Imaging Radar Field Iterative Method Knowledge Engineering Technique Learning in AI Motion Estimation Optical, Image And Video Signal Processing Parametric Sparse Representation Model Radar Equipment Radar Imaging Sparse Bayesian Learning Algorithm Sparse-Bayesian-learning-based Translational Motion Estimation System And Application Translational Motion Target |
| Content Type | Text |
| Resource Type | Article |
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