基于自适应的SSD算法和1.5维谱的新型雷达干扰识别  

New radar jamming recognition based on adaptive SSD algorithm and 1.5-dimensional spectrum

作　　者：张忠民[1] 王雨鑫 ZHANG Zhongmin;WANG Yuxin(College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China)

机构地区：[1]哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001

出　　处：《应用科技》2021年第5期54-59,共6页Applied Science and Technology

基　　金：国家自然科学基金项目(60875025)。

摘　　要：随着数字射频存储器(DRFM)技术的发展,新型有源雷达干扰呈现出灵活多变和脉压增益大的特点,对雷达的生存环境是个严峻的挑战,如何有效地捕捉并识别干扰类型具有研究意义。本文提出了一种基于自适应的奇异谱分解(SSD)算法和1.5维谱的识别方法。通过对5种干扰和回波进行SSD分解,利用峭度准则自适应选取最佳分解个数和最佳分解分量,对最佳分解分量进行1.5维谱估计,将估计结果送入到支持向量机(SVM)中训练学习并分类。仿真结果表明,该方法智能化选参和特征稳定的优点突出、识别率较高。With the development of digital radio frequency memory(DRFM)technology,a new type of active radar jamming presents the characteristics of flexibility and large pulse compression gain,which is a severe challenge to the survival environment of radar.How to effectively capture and identify the types of interference is of great significance.In this paper,a recognition method based on adaptive singular spectrum component(SSD)algorithm and 1.5 dimensional spectrum is proposed.Five kinds of interference and echo are decomposed by SSD,the optimal number and component of decomposition are selected by kurtosis criterion adaptively,the optimal decompositions are estimated by 1.5-dimensional spectrum,and the estimation result is sent to the support vector machine(SVM)for training,learning,and classification.The simulation results show that the method has outstanding advantage of intelligent parameter selection and feature stability,as well as high recognition rate.

关 键 词：雷达干扰 新型有源干扰 灵巧干扰 SSD分解 1.5维谱 支持向量机 信噪比 特征提取 

分 类 号：TN973.3[电子电信—信号与信息处理]