J4 ›› 2010, Vol. 37 ›› Issue (6): 1132-1136.doi: 10.3969/j.issn.1001-2400.2010.06.027

• 研究论文 • 上一篇    下一篇

一种基于ITD参数的数字调制识别算法

李雪1,2;田斌1,2;詹毅1;孙永军2
  

  1. (1. 中国电子科技集团第36所 通信系统信息控制技术国家级重点实验室,浙江 嘉兴  314033;
    2. 西安电子科技大学 综合业务网理论及关键技术国家重点实验室,陕西 西安  710071)
  • 收稿日期:2009-11-25 出版日期:2010-12-20 发布日期:2011-01-22
  • 作者简介:李雪(1985-),女,西安电子科技大学硕士研究生,E-mail: xuexueli1027@163.com.
  • 基金资助:

    重点实验室基金资助项目(9140C13050108DZ46)

Digital modulated signal recognition based on intrisic time-scale decomposition parameters

LI Xue1,2;TIAN Bin1,2;ZHAN Yi1;SUN Yong-jun2   

  1. (1. National Lab. of Info. Control Tech. for Communication System, No. 36 Research Inst. of CETC, Jiaxing  314033, China;
    2. State Key Lab. of Integrated Service Networks, Xidian Univ., Xi'an  710071, China)
  • Received:2009-11-25 Online:2010-12-20 Published:2011-01-22

摘要:

提出了一种基于固有时间尺度分解的特征参数提取方法,并基于参数的可分性进行参数选择,用于数字调制方式识别.仿真结果表明,利用该方法仅使用3个特征参数,便可在信噪比为5dB时达到94%以上的平均识别率.所提出的特征提取方法对接收信号的频偏不敏感、不依赖码元同步、计算复杂度很低、便于实时实现,适用于通信侦察系统和基于干扰重构抵消的通信系统.

关键词: 调制信号识别, 固有时间尺度分解, 特征选择

Abstract:

A digital modulation recognition algorithm using intrinsic time-scale decomposition and the parameters separability for feature extraction and selection is proposed. Simulation results show that the average recognition rate is higher than 94% using only three feature parameters when the SNR is above 5dB. This algorithm is not sensitive to the carrier frequency offset and symbol synchronization with low complexity and real-time realization, and it is suitable for the signal reconnaissance system and interference reconstruction concellation system.

Key words: modulation classification, intrinsic time-scale decomposition, feature selection