中文摘要：

针对杂波环境严重非均匀导致协方差矩阵估计失真、空时自适应处理性能下降的问题,提出了一种杂波协方差矩阵重构方法,并利用重构的杂波协方差矩阵实现杂波抑制。该方法充分利用了载机速度给定时杂波分布轨迹已知这一先验知识,考虑了天线方向图的调制,通过改变空时相关函数调节杂波带宽,可以实现任意杂波协方差矩阵重构。计算机仿真分析和实测数据处理结果表明,所提出的方法在非均匀杂波环境中,与小自由度的降维自适应算法相比具有更好的动目标检测性能。

英文摘要：

The heterogeneous clutter environments lead to covariance matrix estimation errors and spacetime adaptive processing performance degradation. A nonadaptive space-time processing algorithm for clutter suppression based on the reconstruction of clutter covariance matrixes is presented. In airborne radar, the location of the ground clutter in angle-Doppler space is known, given the platform speed and direction. The clutter covariance matrix reconstruction method is made full use of this a-priori information. At the same time, the antenna pattern and space-time correlation are also considered, so the method can be used for non-sidelooking airborne radar. The simulation analysis and experiment results by using measured data show the excellent per- formance of the proposed processor in the presence of non-homogeneous clutter, comparing with partly adaptive processor in the literature.