基于轴向积分双谱的假目标干扰特征提取与识别方法  

Method of False Target Jamming Feature Extraction and Identification Based on Axial Integral Bispectrum

作　　者：胡建波 朱瑞伟 孙富礼 刘云涛[3,4] HU Jianbo;ZHU Ruiwei;SUN Fuli;LIU Yuntao(Unit 91411 of People’s Liberation Army of China,Dalian 116041,Liaoning,China;Shanghai Radio Equipment Research Institute,Shanghai 201109,China;School of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,Heilongjiang,China;Key Laboratory of Advanced Marine Communication and Information Technology,Ministry of Industry and Information Technology,Harbin Engineering University,Harbin 150001,Heilongjiang,China)

机构地区：[1]中国人民解放军91411部队,辽宁大连116041 [2]上海无线电设备研究所,上海201109 [3]哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001 [4]哈尔滨工程大学工业和信息化部先进船舶通信与信息技术重点实验室,黑龙江哈尔滨150001

出　　处：《制导与引信》2024年第3期15-20,共6页Guidance & Fuze

基　　金：黑龙江省自然科学基金(LH2020F020)。

摘　　要：针对间歇采样转发式干扰识别需求,提出了一种基于轴向积分双谱的假目标干扰特征提取和识别方法。该方法分为特征提取与干扰识别两个方面,首先对干扰和目标信号进行积分双谱特征提取,然后利用神经网络对特征进行分类,实现对假目标干扰的有效识别。仿真结果表明,采用该方法提取的目标信号和干扰信号特征差异明显,有利于提升后续的识别效果。Aiming at the demand of interrupted sampling and forwarding jamming identification,a false target jamming feature extraction and identification method based on axial integral bispectrum was proposed.The method was divided into two aspects:feature extraction and jamming identification.Firstly,the integral bispectrum features of jamming and target signals were extracted,and then the neural network was utilized to classify the features,which could realize the effective recognition of false target jamming.The simulation results show that the feature difference between the jamming and target signals is obvious under the proposed feature extraction method,which is conducive to improving the subsequent recognition effect.

关 键 词：间歇采样转发式干扰 积分双谱 特征提取 干扰识别 

分 类 号：TN957.52[电子电信—信号与信息处理]