一种基于低门限CFAR的检测前跟踪算法  

A Low Threshold CFAR Based TBD Algorithm

作　　者：申俊星[1] SHEN Jun-xing(Shangqiu Polytechnic,Shangqiu 476000,China)

机构地区：[1]商丘职业技术学院,商丘476000

出　　处：《价值工程》2023年第18期121-123,共3页Value Engineering

摘　　要：相比于先检测后跟踪的方法,检测前跟踪在低信噪比环境中有更加优秀的效果。本文提出一种适用于应用在雷达系统中的检测前跟踪方法,利用低门限CFAR与DP-TBD级联的方法,再经过检测门限判决,解决了TBD检测在雷达系统中的时间牺牲问题,并优化了DP-TBD的算法,降低复杂度,给出了低门限CFAR的门限取值方法,仿真结果表明,本文提出的算法在4帧积累时比传统的CFAR检测信噪比改善了约4.5dB。Compared to the method of detecting before tracking,tracking before detection has better performance in low signal-to-noise ratio environments.This article proposes a pre detection tracking method suitable for application in radar systems,which utilizes a low threshold CFAR and DP-TBD cascade method,and then solves the time sacrifice problem of TBD detection in radar systems through detection threshold judgment.DP-TBD algorithm is optimized to reduce complexity,and a threshold value method for low threshold CFAR is provided.Simulation results show that,the algorithm proposed in this article improves the signal-to-noise ratio by approximately 4.5dB compared to traditional CFAR detection when accumulating 4 frames.

关 键 词：动态规划 检测前跟踪 低门限CFAR 关联积累 

分 类 号：TN953[电子电信—信号与信息处理]