Abstract: Reduced dimension space time adaptive processing and reduced rank space time adaptive processing need the known clutter covariance matrix or it can be estimated by the reference bins. However, the number of effective bins can not be achieved enough in the non-homogeneous environment, and then the performance of algorithm will be degraded dramatically. A direct transform domain space time adaptive processing algorithm is proposed in this paper, which doesn’t need to estimate the clutter covariance matrix. By adaptive processing in the angular-Doppler domain, based on the minimum mean rule to solve the problem, the proposed algorithm can be suitable in the non-homogeneous environment. The simulation demonstrates the proposed algorithm can suppress clutter better and more robust when there is target angle error occurs compared with direct data domain space time adaptive processing.

Key words: space time adaptive processing, non-homogeneous clutter, direct transform domain, direct data domain

摘要： 降维空时自适应处理和降秩空时自适应处理均需要已知杂波协方差矩阵，或者通过参考单元对杂波协方差矩阵进行估计，在非均匀杂波环境中无法获取足够多的有效样本，使得算法性能急剧下降。提出一种直接变换域空时自适应处理算法，不需要对杂波协方差矩阵估计，在角度-多普勒域中的通道之间进行自适应处理，采用最小均方准则求解，能够适用于非均匀杂波环境中目标检测。仿真结果表明，提出的算法相比于直接数据域算法，抑制杂波能力更强，对于目标角度偏差更具稳健性。

关键词: 空时自适应处理, 非均匀杂波, 直接变换域, 直接数据域