2D-CFAR检测的性能分析与实现  

Performance Analysis and Implementation of Two-Dimensional CFAR Detection

作　　者：左林虎 王谦[1] 刘国浩 ZUO Linhu;WANG Qian;LIU Guohao(Xi'an Electronic Engineering Research Institute, Xi'an 710100;Military Representative office of PLA Army Armaments Department in Xi'an, Xi'an 710000)

机构地区：[1]西安电子工程研究所,西安710100 [2]陆军装备部驻西安地区军事代表局,西安710000

出　　处：《火控雷达技术》2022年第2期63-69,共7页Fire Control Radar Technology

摘　　要：本文通过Matlab仿真分析CA-CFAR、SO-CFAR、GO-CFAR、OS-CFAR、TM-CFAR以及2D-CFAR检测在地杂波边缘、多目标干扰非均匀杂波场景下的检测性能。在GPU中实现上述CFAR检测,在同等的输入条件下,统计各CFAR检测的运算时间。实验结果验证了2D-CFAR检测在杂波边缘场景、多目标干扰非均匀杂波场景均有良好的检测性能,同时运算时间少,适合在工程中应用。The detection performance of CA-CFAR,SO-CFAR,GO-CFAR,OS-CFAR,TM-CFAR and Two-Dimensional CFAR were analyzed in clutter edges and multi-target interference non-uniform clutter background scenarios.The above CFAR detection was implemented in GPU;the running time of each CFAR detection under the same input was calculated.The experimental results verified that the Two-Dimensional CFAR has good detection performance in clutter edges and multi-target interference non-uniform clutter background scenarios,with less running time,which is suitable for engineering applications.

关 键 词：CFAR GPU 检测性能 运算时间 

分 类 号：TN957[电子电信—信号与信息处理]