机载雷达的预滤波直接数据域算法

空时自适应处理(STAP)作为一种地杂波环境下机载雷达自适应检测小目标的方法已得到广泛研究,干扰非一致性是当前的一个重要方面。由杂波脊外的强干扰(或目标)引起的分立非一致性是市区和尖峰状杂波环境下STAP性能下降的主要原因。利用级联算法得到的自适应权可用于STAP干扰的分立非一致性问题。该方法由一个直接数据域算法和一个统计自适应算法级联构成。该文提出一种带杂波衰减预滤波器的直接数据域算法来增强算法对分立非一致干扰的抑制,从而提高了STAP对付分立非一致干扰的性能。

Direct data domain stap algorithm for airborne radar applications

STAP has been widely studied for airborne radar as an approach to adaptively detect small target competing with ground clutter. Non-homogeneous interference is currently an important aspect of STAP. The discrete non-homogenates due to strong interference or target separating from clutter ridge account for much of the degradation in urban and spiky clutter scenarios. The use of adaptive weights with the hybrid algorithm is widely applicable to discrete non-homogeneity problems, which is a hybridization of a two-dimensional non-statistical method with statistically based methods. This paper further considers a new direct data domain processor with a prefilter attenuating clutter to strengthen suppression for discrete non-homogeneous interference. By that, the desirable performance of STAP to discrete non-homogeneous interference is observed.