基于迭代对消的外辐射源雷达目标检测方法

Target Detection Method Based on Iteration Elimination in Passive Bistatic Radar

本文介绍一种外辐射源雷达目标检测中的杂波抑制算法,该算法首先将源自轨道卫星的连续波观测信号重构为观测矩阵,并对观测矩阵进行奇异值分解,利用迭代的方式将大奇异值对应的杂波成分逐渐从观测矩阵中减去,进而实现观测信号中强烈杂波的对消。在杂波消除过程中,最佳迭代阶数由熵变的最小值确定。然后对杂波消除之后的观测矩阵进行相干积累进而实现微弱目标检测。最终的仿真实验结果验证了本文所提方法的有效性和鲁棒性,并且本方法相较于经典的扩展相消算法具备更低的计算量。

A clutter suppression method based on principal component elimination for passive bistatic radar(PBR)is proposed in this paper.This method achieves strong clutter suppression by constructing surveillance matrix,and the strong clutter principal component is subtracted by means of iterations.Then the coherent integration is implemented to realize target detection.During the iterations,the minimum entropy variation rate is applied to search the optimal target detection result.Simulation results prove the effectiveness and robustness of the proposed method,as well as less calculation complexity than classic extended cancellation algorithm.