非高斯杂波下基于子空间的距离扩展目标检测器

发布时间：2018-11-22 07:43

【摘要】：在辅助数据缺失的非高斯杂波背景下,采用两步法设计策略研究了距离扩展目标检测方法.首先,在杂波纹理分量已知的条件下,对待检测数据进行高斯化,利用高斯背景下杂波协方差矩阵和目标散射点幅度的合适估计,建立检验统计量.其次,利用待检测数据在信号子空间正交补上的正交投影,估计杂波纹理分量,提出了基于子空间的距离扩展目标自适应检测器,并证明了其对杂波纹理分量的恒虚警率(CFAR,Constant False Alarm Rate)特性.仿真结果表明,在典型非高斯背景下,所提检测器的CFAR特性和检测性能均优于对比检测器;另外,阵元数、目标距离单元数或杂波尖峰的增加,能不同程度改善检测性能.
[Abstract]:In the background of non-Gao Si clutter with missing auxiliary data, a two-step design strategy is used to study the range extended target detection method. Firstly, under the condition that the texture component of clutter is known, the detection data is treated by Gao Si, and the test statistics are established by using the clutter covariance matrix and the suitable estimation of the target scattering point amplitude under the background of Gao Si. Secondly, using the orthogonal projection of the data to be detected on the signal subspace orthogonal complement, the clutter texture component is estimated, and the distance spread target adaptive detector based on the subspace is proposed, and its constant false alarm rate (CFAR,) for the clutter texture component is proved. Constant False Alarm Rate) feature. The simulation results show that the CFAR characteristics and detection performance of the proposed detector are superior to those of the contrast detector under the typical non-Gao Si background, in addition, the detection performance can be improved by increasing the number of array elements, the number of target distance units or the clutter spike.
【作者单位】：海军航空工程学院信息融合研究所;西安电子科技大学雷达信号处理重点实验室;
【基金】：国家自然科学基金(No.61102166,No.61471379) 中国博士后科学基金(No.2013M540733,No.2014T70904) 山东省博士基金(No.BS2013DX003)
【分类号】：TN957.51

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