基于循环谱的单通道时频混叠信号识别  

Single Channel Time-frequency Mixed Signal Recognition Based on Cyclic Spectrum

作　　者：程石磊 周军[1] 肖飞[1] 陈庭盈 CHENG Shilei;ZHOU Jun;XIAO Fei;CHEN Tingying(No.30 Institute of CETC,Chengdu Sichuan 610041,China)

机构地区：[1]中国电子科技集团公司第三十研究所,四川成都610041

出　　处：《通信技术》2024年第5期500-505,共6页Communications Technology

摘　　要：随着通信技术的发展和电磁环境的日益复杂,通信领域中的时频混叠信号频繁显现。一方面,这类信号会干扰通信系统的正常接收;另一方面,当混叠信号中引入虚假信号时,接收器极有可能接收虚假信号,从而导致获取欺骗信息。因此,有必要对混叠信号做出准确的识别,确保通信的可靠性,从而提出了一种基于循环谱特征的时频混叠信号识别算法。该算法基于非合作方式设计,不依赖于特定的调制参数,具备较优的普适性,并且测试表明,该算法对时频混叠信号的识别准确率优于传统算法。With the development of communication technology and the increasing complexity of the electromagnetic environment,time-frequency mixed signals appear frequently in the communication field.On the one hand,such signals can interfere with the normal reception of the communication system;on the other hand,once false signals are introduced into the mixed signals,the receiver is very likely to receive false signals,resulting in obtaining deceptive information.Therefore,it is necessary to accurately recognize the mixed signals to ensure the reliability of communication,thus this paper proposes a time-frequency mixed signal recognition algorithm based on cyclic spectrum characteristics.The algorithm is designed based on a non-cooperative approach,does not rely on specific modulation parameters,has superior generalizability,and tests indicate that the algorithm’s recognition accuracy for time-frequency mixed signals is better than that of conventional algorithms.

关 键 词：单通道时频混叠信号 循环谱 非合作处理 机器学习 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论]