电子通信信号抗干扰循环频率特征提取算法研究  

Research on Extraction Algorithm of Anti-jamming Cyclic Frequency Feature of Electronic Communication Signal

作　　者：李相敏[1] 李相宇 鄢仁生 LI Xiang-min;LI Xiang-yu;YAN Ren-sheng(Yangtze University College of Arts and Sciences,Jingzhou 434020,China;Shelfoil Petroleum Equipment&Services Co.,Ltd,Dezhou 253034;The 9th Oil Production Plant of Petro China Changqing Oilfield Company,Xi’an 710000,China)

机构地区：[1]长江大学文理学院,湖北荆州434020 [2]德州大陆架石油工程技术有限公司,山东德州253034 [3]中国石油天然气股份有限公司长庆油田分公司第九采油厂,陕西西安710000

出　　处：《中国电子科学研究院学报》2022年第2期175-180,共6页Journal of China Academy of Electronics and Information Technology

基　　金：湖北省自然科学基金(2019CFC857)。

摘　　要：研究针对电子通信信号干扰所致的频率偏差大、定时误差大等问题,引入小波降噪原理,分析了协议识别流程与改进、特征波形小波系数取舍等问题,提出了基于循环频率的电子通信信号特征识别及提取方法,对超宽频信号周期进行估算,应用四阶累积量映射信号,获取映射域特征值,经过卷积与池化,提出了信道重叠信号分离、信号特征识别与提取算法,通过仿真试验证实该方法能够降低电子通信信号噪声干扰,在低信噪比条件下有着鲜明的优势,提取的信号特征结果具有较高的准确性。Research on the problems of large frequency deviation and large timing error caused by electronic communication signal interference, introduce the principle of wavelet noise reduction, analyze the protocol recognition process and improvement, and the choice of characteristic waveform wavelet coefficients, and propose electronic communication based on cyclic frequency signal feature identification and extraction methods, estimate the ultra-wideband signal period, apply the fourth-order cumulant to map the signal, obtain the feature value of the mapping domain, after convolution and pooling, propose the channel overlapping signal separation, signal feature identification and extraction algorithm, The simulation test proves that this method can reduce the noise interference of electronic communication signals. It has obvious advantages under the condition of low signal-to-noise ratio, and the result of extracted signal features has high accuracy.

关 键 词：电子通信信号 抗干扰循环频率 特征提取算法 仿真试验 信噪比 

分 类 号：TN911[电子电信—通信与信息系统]