@inproceedings{41b92864a78c4c2aa8ce0605bfcc7a8c,
title = "Polarimetric Clutter Nulling Space-Time Adaptive Processing",
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.",
keywords = "Polarization, STAP, clutter nulling, computational complexity, sparse",
author = "Kang Zhao and Zhiwen Liu and Shuli Shi and Yulin Huang and Yaxing Yue and Yougen Xu",
note = "Publisher Copyright: {\textcopyright} 2020 ACM.; 4th International Conference on Digital Signal Processing, ICDSP 2020 ; Conference date: 19-06-2020 Through 21-06-2020",
year = "2020",
month = jun,
day = "19",
doi = "10.1145/3408127.3408145",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "331--335",
booktitle = "ICDSP 2020 - 2020 4th International Conference on Digital Signal Processing, Proceedings",
}