基于CFAR的SAR目标检测  

Detection of SAR Target Based on CFAR

作　　者：魏中平[1] 

机构地区：[1]西安电子科技大学电子工程学院,陕西西安710071

出　　处：《电子科技》2013年第3期26-29,共4页Electronic Science and Technology

摘　　要：CFAR检测是由事先定好恒定虚警概率进行目标检测的一种算法,其前提是目标相对于背景具有较强的对比度。CFAR算法通过单个像素灰度和某一门限的比较达到检测目标像素的目的。文中研究了恒虚警概率检测算法,推导了不同拟合分布的具体形式,给出了几种代表性检测器,如CA-CFAR检测器,通过仿真结果证明,在均匀杂波区域中,3种检测器的结果相当,都能检测出目标。但从整体看,CA-CFAR的检测性能更好。Target detection on the basis of the CFAR is an algorithm that requires a given detection ratio and a strong contrast between target and background. The CFAR algorithm is realized by the comparison of the single pixel grayscale and threshold. The CFAR target detection algorithm is studied in the paper, and the concrete forms for fit- ted distributions are deduced particularly. Several typical CFAR detectors are given, such as the CA-CFAR detec- tor. Simulation results show that in homogenous cluster area, all three detectors can detect targets, but the CA- CFAR has better detection performance.

关 键 词：目标检测 杂波统计模型 恒虚警概率 检测器 

分 类 号：TN958[电子电信—信号与信息处理]