电子科技大学学报2025，Vol.54Issue(3)：369-376,8.DOI:10.12178/1001-0548.2024255
干扰环境下通信信号的调制识别技术研究
Research on modulation recognition technology of communication signals in interference environment
摘要
Abstract
Automatic modulation recognition is a critical prerequisite for achieving signal detection and demodulation in non-cooperative communication scenarios.In recent years,deep learning has demonstrated significant advantages in this field.However,existing studies have largely overlooked the challenges posed by random interference and jamming during communication.In fact,due to the open and broadcast nature of wireless communications,interference and jamming attacks have become major threats.To fully harness the potential of automatic modulation recognition in wireless communications,an in-depth exploration of deep learning-based modulation recognition techniques under interference and jamming conditions is corductes.Specifically,the corresponding recognition methods are designed based on interference recognition for two scenarios where interference is either known or unknown,and the effectiveness of our proposed algorithms is validated using the open dataset RML2016.10a.关键词
深度学习/自动调制样式识别/干扰认知/干扰识别Key words
deep learning/automatic modulation recognition/interference cognition/interference identification分类
电子信息工程引用本文复制引用
李昱辰,余尔聪,潘雪,葛孟佳,李强..干扰环境下通信信号的调制识别技术研究[J].电子科技大学学报,2025,54(3):369-376,8.基金项目
国家级基金项目(G022023KP01602) （G022023KP01602）
