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中文摘要：
针对空时自适应处理（STAP）中样本不足导致动目标检测性能下降的问题，该文提出在多频多通道系统下综合利用空．时一频数据的自适应处理方法。该方法在分析不同频率杂波特性差异的基础上，采用杂波协方差矩阵重构以达到自适应修正不同频率下杂波功率的目的，最后通过融合不同频率数据的空时采样协方差矩阵获得高精度的杂波子空间估计效果。仿真结果显示，在样本数较少的情况下，该方法具有良好的动目标检测效果。
英文摘要：
Insufficient samples result in estimation error of covarianee matrix for Space-Time Adaptive Process （STAP）, a merged method of multi-frequency space-time data is presented to improve the estimation accuracy. Based on the analysis of clutter character in different frequencies, this method modifies the power between frequencies by rebuilding covariance matrix, and merges the multi-frequency space-time data to improve the estimation accuracy. A preliminary result against an airborne simulation data demonstrates the effectiveness of the proposed method.
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