针对端射阵机载雷达杂波谱存在的距离非平稳问题,提出了一种基于稀疏恢复的距离模糊杂波抑制方法。该方法首先通过稀疏恢复理论建立杂波回波数据的欠定方程,并结合欠定系统局灶解法求得杂波的空时谱分布,重构出每个距离门的杂波协方差矩阵;然后,以最远可检测距离单元为参考单元对杂波数据进行补偿,并进行目标约束;最后,基于补偿后的数据进行空时自适应杂波抑制处理。与传统端射阵距离模糊杂波谱补偿方法相比,该方法的杂波协方差矩阵估计精度高,杂波抑制性能更优。理论分析和仿真结果验证了该方法的有效性。

Aiming at the problem of range nonstationarity in clutter spectrum of end-fire array airborne radar, a method of clutter suppression based on sparse recovery with range ambiguity is proposed. Firstly, the underdetermined equation of clutter echo data is established by sparse recovery theory, the space-time spectrum distribution of clutter is obtained by focal underdetermined system solver algorithm, and the clutter covariance matrix of each range gate is reconstructed. Then, the farthest detectable range unit is used as the reference unit to compensate the clutter data and constrain the target. Finally, the space-time adaptive clutter suppression processing is carried out based on the compensated data. Compared with the traditional nonstationary clutter spectrum compensation method for end-fire array airborne radar with range ambiguity, the clutter covariance matrix estimation accuracy of this method is high, and the clutter suppression performance is better. Theoretical analysis and simulation results verify the effectiveness of the proposed method.

TN957;TN959.73

国防科技卓越青年科学基金资助课题