摘要
基于数字射频存储器(Digital Radio Frequency Memory,DRFM)的干扰机在一个脉冲重复周期内通过重复转发截获的雷达发射信号形成密集假目标干扰,严重影响雷达对真实目标的检测和跟踪。针对这一问题,提出了一种基于数学形态学的密集假目标干扰抑制算法。该方法先用Otsu算法对脉压后的回波二值化处理,利用形态学中的开运算抑制密集干扰,对滤除干扰后的回波信号做动目标检测(Moving Target Detection,MTD)获取目标参数,实现了干扰环境下的目标检测。通过仿真和实测数据的处理,验证了该方法可以有效抑制密集假目标干扰,实现对目标的检测。
The digital radio frequency memory based jammer forms a dense false target interference through repeated transmission of the radar transmitted signals within a pulse repetition period,which seriously affects the detection and tracking of the real target by the radar.Aiming at this problem,a dense false target interference suppression algorithm based on mathematical morphology is proposed.Firstly,the Otsu algorithm is used to perform binarization processing to the echo after pulse pressure,then the open operation in morphology is used to suppress dense interference,and finally the moving target detection is performed on the echo signal after filtering interference to obtain target parameters.Through simulation and processing of measured data,it is verified that the interference of dense false targets can be effectively suppressed and the detection of targets is achieved.
作者
方文
全英汇
陈侠达
董淑仙
高霞
FANG Wen;QUAN Yinghui;CHEN Xiada;DONG Shuxian;GAO Xia(College of Electronic Engineering,Xidian University,Xi’an 710071,China)
出处
《无线电工程》
北大核心
2021年第1期25-31,共7页
Radio Engineering
基金
国家自然科学基金资助项目(61772397)。
关键词
密集假目标干扰
最大类间方差法
数学形态学
目标检测
dense false target interference
Otsu method
mathematical morphology
target detection
