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中文摘要：
非均匀杂波环境中的离群点会导致空时自适应处理（space-time adaptive processing,STAP）性能的下降。针对此问题,该文提出一种新的基于S变换的稳健STAP（S transform-STAP,ST-STAP）算法。该算法主要利用杂波和离群点的S变换在时频平面上分布特性的不同来实现非均匀杂波的抑制。ST-STAP算法首先将样本数据对应的快时间序列作S变换得到时频分布矩阵,舍弃部分高频分量以去掉离群点的影响,然后用时频矩阵的剩余部分计算相关矩阵和自适应滤波权。蒙特卡罗实验证明ST-STAP方法的稳健性和动目标检测性能均优于传统的STAP算法。
英文摘要：
Performance of space-time adaptive processing （STAP） is always corrupted by outliers. Hence, a novel robust STAP algorithm based on the S transform （ST） is proposed. It exploits the characteristic that ST spectrum distribution of the outlier is different from the clutter in the time-frequency domain. Firstly, the fast time sequence is transferred to the time-frequency matrix by ST. Some high frequency points of the ST matrix are abandoned to eliminate outliers. Then the remainder of the ST matrix is used to estimate the clutter covari- ance matrix and filter weight. Monte Carlo experiments prove that the proposed algorithm is more robust than other conventional STAP algorithms in non-homogeneous clutter environments.
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