刘丹,马秀荣,单云龙.一种基于ST-RFT算法的数字调制信号识别方法[J].计算机科学,2018,45(5):64-68
一种基于ST-RFT算法的数字调制信号识别方法
Digital Modulation Signal Recognition Method Based on ST-RFT Algorithm
投稿时间:2017-02-10  修订日期:2017-04-28
DOI:10.11896/j.issn.1002-137X.2018.05.011
中文关键词:  数字调制信号识别,短时拉曼努金傅里叶变换,特征参数,识别率
英文关键词:Digital modulation signal recognition,Short-time Ramanujan Fourier transform,Characteristic parameters,Recognition rate
基金项目:本文受天津市科学技术委员会项目:天津市应用基础与前沿技术研究计划项目(15JCQNJC01100)资助
作者单位E-mail
刘丹 天津理工大学计算机与通信工程学院 天津300384  
马秀荣 天津理工大学计算机与通信工程学院 天津300384 lunwentoudi@163.com 
单云龙 天津理工大学计算机与通信工程学院 天津300384  
摘要点击次数: 313
全文下载次数: 225
中文摘要:
      将短时拉曼努金傅里叶变换(ST-RFT)应用于数字调制信号识别的研究中,以寻求提高低SNR条件下数字调制信号识别率的新方法。通过归一化ST-RFT谱图计算、特征参量提取以及阈值判别来实现调制信号的识别。针对5种常见的数字调制信号进行仿真分析,结果表明,在SNR=0 dB的信噪比条件下,基于ST-RFT算法的数字调制信号识别方法的平均识别率可以达到90%,比基于谱图时频分析法的识别率提高了10.4%;特别是相比于基于瞬时幅度和瞬时频率的特征方法,4FSK调制信号的识别率可提高9%。基于ST-RFT算法的数字调制信号识别方法能够 在低SNR条件下有效识别数字调制信号,具有良好的工作性能。
英文摘要:
      In this paper,the short-time Ramanujan Fourier transform(ST-RFT) algorithm was applied in the research of modulation signal recognition to obtain a new method which can improve the correct recognition rate in low signal-to-noise ratio(SNR) environment.The modulation signals recognition was achieved by normalized ST-RFT spectrogram calculation,characteristic parameters extraction and threshold decision.The simulation results show that when SNR is 0 dB,the average correct recognition rate of the method based on ST-RFT algorithm can reach 90%,which is increased by 10.4% compared with that based on spectrogram time-frequency analysis algorithm.Especially,the correct recognition rate of the proposed method for 4FSK signal can increased by 9% compared with that of the method based on instantaneous amplitude and instantaneous frequency features.The effectiveness and reliability of the proposed method in low SNR are proved by simulation results.
查看全文  查看/发表评论  下载PDF阅读器