恒虚警极化自适应子空间检测器

A CFAR Polarimetric Adaptive Subspace Detector

本文研究了在未知统计特性的局部均匀高斯杂波环境中的相干雷达极化自适应目标检测问题.基于广义似然比检验提出极化自适应子空间检测器,并推导出虚警概率和检测概率的理论表达式.研究结果证明该算法在均匀杂波环境和局部均匀杂波环境都有恒虚警的性质.比较了均匀杂波环境下极化自适应子空间检测器、极化广义似然比检验和极化自适应匹配滤波器算法的检测性能,仿真分析了不同极化状态局部均匀杂波环境下极化自适应子空间检测器算法在的检测性能.

This paper deals with coherent radar palarimetric adaptive detection of targets in partially-homogeneous Gaussian clutter background with unknown covariance matrix.Based on generalized likelihoed ratio test（GLRT） ,palarimetric adaptive subspace detector（PASD） is derived. The theoretical expressions of PFA and PD for PASD are derived. The proposed detection algorithm ensures the constant false alarm rate （CFAR） in homogeneous and partially-homogeneous clutter background. We resort to simulation to analyse the performance of PGLRT,PAMF,PASD in homogeneous clutter and PASD in partially-homogeneous clutter in different palarimetric cases.