基于重构协方差矩阵空时二维杂波抑制方法

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。

Method for clutter suppression based on covariance matrix reconstruction in airborne radar

The heterogeneous clutter environments lead to covariance matrix estimation errors and space-time 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 performance of the proposed processor in the presence of non-homogeneous clutter,comparing with partly adaptive processor in the literature.