文中对空时二维自适应处理（STAP）技术进行了基本原理性的论述，指出近程非均匀杂波由于样本不足导致STAP效果严重下降。针对机载相控阵雷达低重复频率数据中近程杂波难抑制的问题，根据机载平台在相邻相干积累时间（CPI）内运动距离短，雷达波束覆盖区域基本相同的特点，提出了一种利用前一CPI数据作为辅助知识抑制当前帧数据近程杂波的方法，算法根据历史CPI数据引入引起样本增加的特点，对近程非均匀杂波区进行精细分段处理，提升非均匀杂波抑制能力，改善非均匀杂波区的目标信杂噪比，文中对算法的原理进行了描述并通过实测数据实验验证了算法的性能。

Essential principles of space time adaptive processing (STAP) technology are discussed, then for the short range clutter, the effect of STAP declined heavily due to the short of sample is pointed out in this paper. To confront the non homogeneous clutter of low pulse repetition frequency (LPRF) data, which is difficult to be restrained in the airborne phase scan radar, a novel algorithm, which is based on the airborne platform moving short range and the areas covered by radar beam almost same, is proposed in this paper. In the new algorithm, the last coherent processing interval (CPI) data are used as the aided knowledge to suppress the clutter of current CPI data. Due to the last CPI data introduced, the number of samples is increased, by which the current CPI data can be piecewise processed more finely, to improve the effect of clutter suppression and the target signal to clutter plus noise ratio (SCNR). The principle of the new algorithm is introduced firstly, and then experiments by the measured radar data demonstrate the impression of the method.

TN957