摘要
密集假目标干扰具备欺骗性和压制性的双重特性,严重影响雷达作战效能。对此,提出一种捷变频联合波形熵的密集假目标干扰抑制算法。首先采用Kittler算法进行二值化处理;其次利用波形熵识别目标和干扰;然后采用局部离群因子检测算法对目标回波中叠加有较强干扰旁瓣的数据进行剔除;最后采用稀疏重构算法进行脉间相参处理。数字仿真实验和外场实测数据处理结果验证了所提算法的有效性。算法性能分析结果表明,当干信比为58 dB时,所提算法仍能有效抑制干扰,正确检测目标。
Dense false target jamming has the dual characteristics of deception and suppression,which seriously affects the effectiveness of radar operations.Therefore,a jamming suppression algorithm based on frequency agility and waveform entropy is proposed.Firstly,the Kittler algorithm is used for binarization.Secondly,the waveform entropy is used to identify the target and interference.Then,the local outlier detection algorithm is used to eliminate the data with strong interference side lobes in the target echo.Finally,the sparse reconstruction algorithm is used to perform interpulse coherent processing.The results of digital simulation experiment and field measured data processing verify the effectiveness of the proposed algorithm.The algorithm performance analysis results show that when the interference signal ratio is 58 dB,the proposed algorithm can still effectively suppress the interference and correctly detect the target.
作者
方文
全英汇
沙明辉
刘智星
高霞
邢孟道
FANG Wen;QUAN Yinghui;SHA Minghui;LIU Zhixing;GAO Xia;XING Mengdao(School of Electronic Engineering,Xidian University,Xi’an 710071,China;Beijing Institute of Radio Measurement,Beijing 100854,China;National Lab of Radar Signal Processing,Xidian University,Xi’an 710071,China)
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2021年第6期1506-1514,共9页
Systems Engineering and Electronics
基金
国家自然科学基金(61772397)资助课题。
关键词
密集假目标干扰
频率捷变
波形熵
局部离群因子检测
dense false targets jamming
frequency agility
waveform entropy
local outlier factor detection