中国邮电高校学报(英文) ›› 2010, Vol. 17 ›› Issue (3): 52-59.doi: 10.1016/S1005-8885(09)60471-4

• Wireless • 上一篇    下一篇

Digital modulation recognition based on instantaneous information

谭晓衡   

  1. 重庆大学通信与测控中心
  • 收稿日期:2009-08-17 修回日期:2010-01-23 出版日期:2010-06-30 发布日期:2010-06-29
  • 通讯作者: 谭晓衡 E-mail:txh@cqu.edu.cn
  • 基金资助:

    其他

Digital modulation recognition based on instantaneous information

  • Received:2009-08-17 Revised:2010-01-23 Online:2010-06-30 Published:2010-06-29

摘要:

A new digital modulation recognition algorithm based on the instantaneous information is proposed to improve the recognition success rate in the low signal noise ratio (SNR). First denoising of the instantaneous information is optimized by wavelet filter, which can improve the recognition ability at low SNR. Besides the existing 3 key feature parameters, 3 new key feature parameters are proposed to be used as the decision criteria for identifying different types of digital modulation, which simplifies the recognition process and improves the recognition ability at low SNR. The simulations demonstrate that all modulation types of interest have been classified with success rate of no lower than 99 % when SNR is 10dB. Even if the SNR is lower than 5 dB, the success rate is over 95.4 % for most of the modulation types.

关键词:

Information processing, digital modulation recognition, instantaneous information, wavelet filter

Abstract:

A new digital modulation recognition algorithm based on the instantaneous information is proposed to improve the recognition success rate in the low signal noise ratio (SNR). First denoising of the instantaneous information is optimized by wavelet filter, which can improve the recognition ability at low SNR. Besides the existing 3 key feature parameters, 3 new key feature parameters are proposed to be used as the decision criteria for identifying different types of digital modulation, which simplifies the recognition process and improves the recognition ability at low SNR. The simulations demonstrate that all modulation types of interest have been classified with success rate of no lower than 99 % when SNR is 10dB. Even if the SNR is lower than 5 dB, the success rate is over 95.4 % for most of the modulation types.

Key words:

Information processing, digital modulation recognition, instantaneous information, wavelet filter