基于软件无线电的调制信号自识别系统设计与实现  

Design and Implementation of Recognition System for Modulated Signals Based on Software Defined Radio

作　　者：黎鹏[1] 陈心嘉 马诗扬 袁能 丁洪伟[1] LI Peng;CHEN Xinjia;MA Shiyang;YUAN Neng;DING Hongwei(School of Information Science,Yunnan University,Kunming 650091,China;School of Internet+,Dianchi College of Yunnan University,Kunming 650228,China;PetroChina Yunnan Company,Kunming 650328,China)

机构地区：[1]云南大学信息学院,云南昆明650091 [2]滇池学院互联网+学院,云南昆明650228 [3]中国石油天然气股份有限公司云南销售分公司,云南昆明650328

出　　处：《电声技术》2024年第3期129-134,共6页Audio Engineering

基　　金：云南省本科教育教学改革项目(JG2023178);云南大学校级教育教学改革项目(2022026)。

摘　　要：在无线通信系统中,信号调制方式的自动识别是软件无线电的重要应用场景。与传统神经网络算法相比,基于软件无线电平台提出利用支持向量机进行识别的方法,能显著提高信号模拟和数字调制方式的识别效率,平均识别正确率均在90%以上。在接收信号信噪比为30 dB时,该方法的识别正确率达到100%,是调制信号自识别系统中的一种优秀方法。In wireless communication system,automatic identification of signal modulation mode is an important application scenario of software radio.Compared with the traditional neural network algorithm,this paper proposes a recognition method based on software radio platform using support vector machine,which can significantly improve the recognition efficiency of signal analog and digital modulation,and the average recognition accuracy is above 90%.When the signal-to-noise ratio of the received signal is 30 dB,the recognition accuracy of this method reaches 100%,which is an excellent method in the modulation signal self-recognition system.

关 键 词：调制信号识别 LABVIEW 神经网络 支持向量机 

分 类 号：TN92[电子电信—通信与信息系统]