基于顶帽变换的弱目标检测算法  

Weak Target Detection Algorithm Based on Top⁃hat Transformation

作　　者：成伟明[1] 徐勇 龙超[1] 章林[1] CHENG Weiming;XU Yong;LONG Chao;ZHANG Lin(The 28th Research Institute of China Electronics Technology Group Corporation,Nanjing 210007,China)

机构地区：[1]中国电子科技集团公司第二十八研究所,南京210007

出　　处：《指挥信息系统与技术》2021年第2期65-69,共5页Command Information System and Technology

基　　金：国家重点研发计划(2020YFB1600104)资助项目。

摘　　要：针对传统雷达微弱目标检测中虚假目标过多的问题,提出了基于顶帽变换的动态规划检测前跟踪(DP‐TBD)算法来检测雷达微弱目标。通过对累积观测数据分析,采用递推计算提取噪声背景下的目标累积能量,利用顶帽变换法抑制噪声背景,提取出具有目标形态特征的回波信号从而实现了目标检测。理论仿真和实测数据分析表明,该算法可以提高雷达弱小目标的检测性能,且计算量小,适合于工程实现。Aimed at the problem of too many fake targets in traditional radar's weak target detection,a dynamic-planning track before detect(DP-TBD)algorithm based on the top-hat transformation is proposed to detect the weak targets.By the analysis on the target cumulate observation,the target cumulate energy in the noise background is extracted with the recursive calculation,and the noise background is suppressed with the top-hat transformation algorithm.The echo signal with target shape characteristics is extracted,and target detection is realized.Theory simulation and measured data analysis show that the algorithm can enhance the radar's detection performance on weak targets.It's amount of calculation is small and it is suitable for engineering implementation.

关 键 词：弱目标检测 顶帽变换 检测前跟踪 动态规划 

分 类 号：TN820[电子电信—信息与通信工程]