在双基地机载雷达中,由于地面杂波存在距离依赖性,使得基于距离单元回波数据平均的杂波协方差矩阵估计存在误差,导致空时自适应处理的杂波抑制性能严重下降。基于配准的方法沿杂波空时分布曲线采样,补偿杂波距离依赖性,然而该方法由于采样点过多导致运算量巨大。针对该问题,利用双基地机载雷达杂波散射点的复幅度受收发天线调制,具有稀疏分布的特点,提出了一种基于稀疏采样的杂波谱补偿方法,该方法通过设置采样门限来降低采样点数,减小重构杂波数据的运算量。计算机仿真结果表明,该方法能够有效地降低重构杂波的运算量,减小双基地机载雷达杂波的距离依赖性,提高空时自适应信号处理的杂波抑制性能。 In the bistatic airborne radar, the clutter covariance matrix estimation based on the average of the distance unit echo data has errors because of the distance dependence of the ground clutter, resulting in a serious decrease of the clutter suppression performance of the space-time adaptive processing. The registration method compensates the clutter distance dependence along the spatiotemporal distribution curve of clutter. However, this method requires a large amount of computation due to too many sampling points. In order to solve this problem, a method of clutter compensation based on sparse sampling is proposed, which utilizes the modulation amplitude of the scattering point of the clutter of the bistatic airborne radar by the receiving and transmitting antennas and has a sparse distribution. This method reduces the sampling by setting the sampling threshold Points, reduce the amount of reconstruction clutter data calculations. Computer simulation results show that this method can effectively reduce the computational complexity of reconstructed clutter, reduce the distance dependence of clutter of bistatic airborne radar and improve the clutter suppression performance of space-time adaptive signal processing.