Journal of Systems Engineering and Electronics ›› 2009, Vol. 31 ›› Issue (6): 1520-1524.

• 电子技术 • 上一篇    下一篇

一种新的低信噪比下的数字调制识别方法

谭晓衡, 刘娟, 胡友强   

  1. 重庆大学通信工程学院, 重庆, 400030
  • 收稿日期:2008-03-13 修回日期:2008-07-07 出版日期:2009-06-20 发布日期:2010-01-03
  • 作者简介:谭晓衡(1976- ),男,副教授,博士研究生,主要研究方向为无线通信系统,测控及遥感信息传输,扩频技术及码分多址通信等.E-mail:txh@cqu.edu.cn
  • 基金资助:
    国家自然科学基金项目(30570473);重庆市自然科学基金项目(2008BB2168)资助课题

New algorithm for digital modulation recognition under low SNR

TAN Xiao-heng, LIU Juan, HU You-qiang   

  1. Coll. of Communication Engineering, Chongqing Univ., Chongqing 400030, China
  • Received:2008-03-13 Revised:2008-07-07 Online:2009-06-20 Published:2010-01-03

摘要: 针对数字调制识别在低信噪比下的应用,提出一种新的基于瞬时信息的调制识别算法。该算法一方面提出采用小波滤波器对信号的瞬时信息进行消噪处理,提高了调制识别算法在低信噪比下的识别能力;另一方面利用已有算法的3个特征参数σap、σaa、和σfa以及在已有算法基础上改进的3个新的特征参数RaRpRf,简化了识别过程,改善了低信噪比下的识别效果。仿真结果表明,该算法在信噪比低到5dB时,也能达到95.4%以上的识别率。

Abstract: A new digital modulation recognition method based on instantaneous information is proposed for the application under the low signal-to-noise ratio(SNR).On the one hand,de-noising of instantaneous parameters is optimized by a wavelet filter,which can improve the recognition ability under the low SNR;on the other hand,the existing three feature parameters σapaa and σfa,are used,and three new parameters Ra,Rp and Rf are proposed based on the existing feature parameters,which can simplify the process and improve the recognition ability.Simulation result shows that the algorithm is quite practical because the recognition ability probability is over 95.4% even if the SNR is low to 5 dB.

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