摘要
针对利用雷达侦察信号进行干扰效果在线评估时参数冗余、信号变化程度判别不清的问题,提出雷达干扰效果在线评估参数筛选与特征表示方法。对多功能海上雷达信号,利用信息熵筛选剧烈变化参数,通过盒维数和皮尔逊相关系数提取信号变化特征,结合支持向量机实现对未知威胁的干扰效果在线评估。仿真实验表明,当信号参数偏离误差小于10%时,新方法的评估准确率高于92%,显著提高了雷达干扰效果在线评估的可靠性。
In view of parameter redundancy and unclear signal change degree in the online evaluation of jamming effect by radar reconnaissance signals,a parameter selection and feature representation method of radar jamming effect online evaluation is proposed.Firstly,for multi-function maritime radar signals,information entropy is used to screen wildly varying parameters.The box dimension and Pearson correlation coefficients are then used to extract the signal variation characteristics.Finally,the support vector machine is used to evaluate the jamming effect of unknown threats.Simulation experiments show that the new method evaluation accuracy is higher than 92%,when the deviation error of the signal parameter is less than 10%,which significantly improves the reliability of online evaluation of radar jamming effect.
作者
雷震烁
刘松涛
葛杨
温镇铭
LEI Zhenshuo;LIU Songtao;GE Yang;WEN Zhenming(Department of Information System,Dalian Naval Academy,Dalian 116018,China)
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2020年第12期2755-2760,共6页
Systems Engineering and Electronics
基金
博士后基金(2015M572694,2016T90979)资助课题。
关键词
干扰效果
在线评估
信息熵
盒维数
皮尔逊相关系数
jamming effect
online evaluation
information entropy
box dimension
Pearson correlation coefficient
