摘要
A polarimetric clutter nulling based space-time adaptive processing approach is presented to weak target detection under short data samples. In the new processor, the signal under test vector is estimated via a modified least square scheme while the clutter subspace is iteratively recovered with a basis selected computationally efficient polarization-space-time sparse technique. Numerical results are given to illustrate the performance of the proposed polarimetric STAP method.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | ICDSP 2020 - 2020 4th International Conference on Digital Signal Processing, Proceedings |
| 出版商 | Association for Computing Machinery |
| 页 | 331-335 |
| 页数 | 5 |
| ISBN（电子版） | 9781450376877 |
| DOI | |
| 出版状态 | 已出版 - 19 6月 2020 |
| 活动 | 4th International Conference on Digital Signal Processing, ICDSP 2020 - Virtual, Online, 中国 期限: 19 6月 2020 → 21 6月 2020 |
出版系列
| 姓名 | ACM International Conference Proceeding Series |
|---|
会议
| 会议 | 4th International Conference on Digital Signal Processing, ICDSP 2020 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Virtual, Online |
| 时期 | 19/06/20 → 21/06/20 |
指纹
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Zhao, K., Liu, Z., Shi, S., Huang, Y., Yue, Y., & Xu, Y. (2020). Polarimetric Clutter Nulling Space-Time Adaptive Processing. 在 ICDSP 2020 - 2020 4th International Conference on Digital Signal Processing, Proceedings (页码 331-335). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3408127.3408145