基于ZAM-GTFR和Hough Transform的LFM信号检测  

Linear Frequency Modulation Signal Detection Based on ZAM-GTFR and Hough Transform

作　　者：曾小东[1] 张薇[1] 曾德国[1] 祝俊[1] ZENG Xiaodong;ZHANG Wei;ZENG Deguo;ZHU Jun(School of Electronics Engineering University of Electronic Science and Technology of China Chengdu,611731 Sichuan China)

机构地区：[1]电子科技大学电子工程学院,四川成都611731

出　　处：《上海航天（中英文）》2020年第6期120-124,共5页Aerospace Shanghai（Chinese&English）

摘　　要：对于诸如电子对抗、电子情报等领域,噪声环境下的未知参量信号检测是一个关键问题。本文提出了ZAM-GTFR结合霍夫变换对线性调频信号的一种新的检测方法。对于特定的复高斯白噪声环境下的线性调频信号,检测的过程等效于对ZAM-GTFR沿瞬时频率直线作积分,再用积分值与门限做比较。仿真结果证实了此检测方法的有效性。The detection of unknown parameter signals in a noisy environment is a critical issue in many areas such as electronic counter measures and electronic intelligence. In this paper,a novel detection scheme based on the generalized time-frequency representation of Zhao, Atlas, and Marks(ZAM-GTFR) and Hough transform is proposed. For the linear frequency modulation signals in a specific complex white Gaussian noise environment,the detection process is equivalent to integrating ZAM-GTFR along a straight line of instantaneous frequency,and then comparing the integrated value with the threshold. The simulation results show the effectiveness of the proposed detection method.

关 键 词：信号检测 ZAM-GTFR 霍夫变换 

分 类 号：TN971[电子电信—信号与信息处理]