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针对SIRV建模的非高斯杂波背景中距离扩展目标检测问题,首先,假设杂波协方差矩阵结构已知,利用点目标检测器NMF对每个距离单元多个脉冲回波进行相干积累,再对目标所占距离单元能量进行非相干积累,提出了距离扩展目标的积累检测器NMFI,并推导了NMFI虚警概率与检测门限的关系表达式.其次,利用不含目标的辅助单元数据提出了修正的协方差矩阵迭代估计器MRE,再将估计矩阵代替NMFI中的真实协方差矩阵得到自适应检测器MRE-ANMFI,并证明了MRE-ANMFI对杂波纹理分量和协方差矩阵结构的CFAR特性.最后,利用仿真实验验证了本文方法的有效性.
In order to solve the problem of distance expansion target detection in SIRV-modeled non-Gaussian clutter background, firstly, we assume that the structure of the clutter covariance matrix is known, and use the NMF to coherently accumulate multiple pulse echoes per distance unit. Then, Based on the non-coherent accumulation of distance unit energy of the target, the NMFI of distance expansion target accumulation detector is proposed, and the expression of NMFI false alarm probability and detection threshold is deduced.Secondly, using the auxiliary unit data without target, A modified covariance matrix iterative estimator MRE, and then replace the real covariance matrix in the NMFI with an estimation matrix to obtain the adaptive detector MRE-ANMFI, and prove the CFAR characteristics of the MRE-ANMFI to the clutter texture components and the covariance matrix structure Finally, the simulation results verify the effectiveness of the proposed method.