基于小波域滤波的电子通信信道恶意干扰信号分离方法  

Separation Method of Malicious Interference Signals in Electronic Communication Channel Based on Wavelet Domain Filtering

作　　者：张春杰 ZHANG Chun-jie(Rizhao Municipal Party Committee Office,Rizhao,Shandong 276800,China)

机构地区：[1]日照市委办公室,山东日照276800

出　　处：《计算技术与自动化》2022年第2期23-28,共6页Computing Technology and Automation

摘　　要：针对电子通信信号与恶意干扰信号严重重叠的现象,设计了基于小波域滤波的电子通信信道恶意干扰信号分离方法。在分析信道特征并划分噪声种类后明确噪声信号形式,然后利用小波域滤波算法合理设置分解层数,对信号做分解重构与降噪,再利用极限学习机建立神经网络学习模型。根据干扰信号模型与信道衰减程度提取干扰信号特征,并将特征样本输入到神经网络中,直到输出分离结果。仿真结果表明:该方法能够有效去除信道噪声、降低通信误码率、均衡信道负载。Aiming at the serious overlap between electronic communication signals and malicious interference signals,this paper designs a separation method of malicious interference signals in electronic communication channels based on wavelet domain filtering.After analyzing characteristics and classification of channel noise type clear form of noise signal,and then take advantage of wavelet domain filtering algorithm reasonable set decomposition layers,do decomposition reconstruction in the signal and noise reduction,recycle extreme learning machine based neural network learning model,according to the jamming signal model and channel attenuation degree of jamming signal feature extracting,and will feature sample input to the neural network,Until the output is separated.Simulation results show that this method can effectively remove channel noise,reduce communication bit error rate and balance channel load.

关 键 词：小波域滤波 电子通信信道 恶意干扰信号 信号分离 信号去噪 

分 类 号：TN919.4[电子电信—通信与信息系统]