Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | ICDSP 2020 - 2020 4th International Conference on Digital Signal Processing, Proceedings |
| Publisher | Association for Computing Machinery |
| Pages | 331-335 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781450376877 |
| DOIs | |
| Publication status | Published - 19 Jun 2020 |
| Event | 4th International Conference on Digital Signal Processing, ICDSP 2020 - Virtual, Online, China Duration: 19 Jun 2020 → 21 Jun 2020 |
Publication series
| Name | ACM International Conference Proceeding Series |
|---|
Conference
| Conference | 4th International Conference on Digital Signal Processing, ICDSP 2020 |
|---|---|
| Country/Territory | China |
| City | Virtual, Online |
| Period | 19/06/20 → 21/06/20 |
Keywords
- Polarization
- STAP
- clutter nulling
- computational complexity
- sparse
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Zhao, K., Liu, Z., Shi, S., Huang, Y., Yue, Y., & Xu, Y. (2020). Polarimetric Clutter Nulling Space-Time Adaptive Processing. In ICDSP 2020 - 2020 4th International Conference on Digital Signal Processing, Proceedings (pp. 331-335). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3408127.3408145