极化杂波零化时空自适应处理

Proceedings of the 2020 4th International Conference on Digital Signal Processing Pub Date : 2020-06-19 DOI:10.1145/3408127.3408145

K. Zhao, Zhiwen Liu, Shuli Shi, Yulin Huang, Yaxing Yue, Yougen Xu

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引用次数: 0

摘要

提出了一种基于极化杂波消零的空时自适应处理方法，用于短样本条件下的弱目标检测。该处理器采用改进的最小二乘方法对待测信号矢量进行估计，同时采用一种计算效率较高的基选择极化-时空稀疏技术对杂波子空间进行迭代恢复。数值结果说明了所提出的偏振STAP方法的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Polarimetric Clutter Nulling Space-Time Adaptive Processing

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.

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Proceedings of the 2020 4th International Conference on Digital Signal Processing

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