摘要
该文研究了高斯杂波背景下相干雷达极化自适应检测问题。利用雷达回波的极化信息来提高检测性能。提出了一种基于杂波模型的极化自适应恒虚警检测算法,该算法比极化自适应匹配滤波器算法有更小的估计损失,并推导出了虚警概率表达式。仿真结果表明,所提出的检测算法相对于杂波协方差矩阵都有恒虚警的性质。
This paper addresses the problem of polarimetric adaptive detection with coherent radar against a gaussian clutter background. We exploit the polarimetric characteristics of the received radar echoes to improve the detection performance. A model - based polarimetric adaptive CFAR detection algorithm is derived that has a lower estimation loss. A theoretical expression is derived for constant false alarm rate of the proposed algorithm. It is shown that the proposed algorithm has const false alarm rate （CFAR） property with respect to the covariance matrix of the clutter.
出处
《信号处理》
CSCD
北大核心
2006年第1期49-52,共4页
Journal of Signal Processing
基金
国防预研基金(NO:00J7.2.8.DZ0152)
关键词
相干
极化
自适应检测
恒虚警
杂波模型
Coherent
Polarimetric
Adaptive Detection
CFAR
Clutter Model
