无线电工程2024，Vol.54Issue(7)：1643-1651,9.DOI:10.3969/j.issn.1003-3106.2024.07.006
基于DRSN的通信信号调制方式识别方法
Identification of Communication Signal Modulation Methods Based on DRSN
摘要
Abstract
Existing communication signal modulation recognition methods face challenges such as lower recognition rates under conditions of low Signal to Noise Ratio(SNR),limited modulation types,and a lack of diversity in channel types.A method for communication signal modulation recognition based on the Deep Residual Shrinkage Network(DRSN)is proposed.With the specific features of the modulation recognition domain in mind,an improved deep residual shrinkage network model is constructed.This network fully utilizes its attention mechanism and soft thresholding for noise reduction,enhancing the modulation recognition capability in low SNR conditions.Experimental results demonstrate that,compared to Residual Network(ResNet),Convolutional Long-short-term Deep Neural Network(CLDNN),and Convolutional Gated recurrent Deep Neural Network(CGDNN),the proposed method effectively minimizes noise interference in recognizing 26 types of modulated signals under low SNR and 5 types of channel conditions.The recognition rate achieves 91.70％when the SNR is above 4 dB,and surpasses 98％at 10 dB,showcasing commendable recognition performance.关键词
通信信号/调制识别/深度残差收缩网络/注意力机制/软阈值化Key words
communication signal/modulation recognition/DRSN/attention mechanism/soft thresholding分类
信息技术与安全科学引用本文复制引用
竹杭杰,郭建新,张雨帅,朱锐,黄磊,丁自立..基于DRSN的通信信号调制方式识别方法[J].无线电工程,2024,54(7):1643-1651,9.基金项目
陕西省重点研发计划(2021GY-341)Key R&D Program of Shaanxi Province(2021GY-341) （2021GY-341）
