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Volume 28 Issue 11
Sep.  2010
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Chen Jian, Kuo Yong-hong, Li Jian-dong, Ma Yu-bao. Modulation Identification of Digital Signals with Wavelet Transform[J]. Journal of Electronics & Information Technology, 2006, 28(11): 2026-2029.
Citation: Chen Jian, Kuo Yong-hong, Li Jian-dong, Ma Yu-bao. Modulation Identification of Digital Signals with Wavelet Transform[J]. Journal of Electronics & Information Technology, 2006, 28(11): 2026-2029.

Modulation Identification of Digital Signals with Wavelet Transform

  • Received Date: 2005-03-15
  • Rev Recd Date: 2005-08-31
  • Publish Date: 2006-11-19
  • A new method of digital modulation identification with wavelet transform is introduced in this paper. There are two ways to get the characteristics. One is to get the local maximum with the continuous wavelet transform; the other is the multiresolution analysis. Both of them have been used. For different modulated signals, different characteristics have been used. Compared with others, the classifier is easy to realize and the decision is simple. It is not necessary to estimate the code period and the synchronization time. The percentage of correct identification is improved. The speed of modulation identification is increased as well.
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  • Liang Hong, Ho K C. Identification of digital modulation types using the wavelet transform[J].MILCOM 1999, Military Communications Conference Proceedings, 1999. IEEE, 31 Oct.-3 Nov.1999, Vol.1:427-431[2]Ho K C,Prokopiw W,Chan Y T. Modulation identification of digital signals by the wavelet transform[J].IEE Proc.-Radar, Sonar Navig.2000, 147(4):169-[3]Ta N P. A wavelet packet approach to radio signal classification. Time-Frequency and Time-Scale Analysis, 1994. Proceedings of the IEEE-SP International Symposium on 25-28 Oct., 1994: 508-511.[4]Jones E, Runkle P, Dasgupta N, et al.. Genetic algorithm wavelet design for signal classification[J].IEEE Trans. on Pattern Analysis and Machine Intelligence.2001, 23(8):890-[5]Zhang Q, Benveniste A. Wavelet network[J].Proc.IEEE Trans.on Neural Networks.1992, 3(6):889-[6]何正友, 钱清泉. 小波神经网络改进结构及其学习算法. 西南交通大学学报, 1999, 34(4): 436-440.[7]张文红, 韩刚, 李建东. 基于支撑矢量机的通信信号调制识别方法研究. 通信技术, 2003, 134(2): 12-14.[8]Mallat S. A theory for multiresolution signal decomposition: The wavelet representation[J].IEEE Trans Pattern Analysis Macine Inteligcncel.1989, 11:674-693[9]杨力华等(译). 信号处理的小波导引. 北京: 机械工业出版社, 2002.9.[10]Daubechies I. Orthonormal bases of compactly supported wavelets[J].Comm on Pure. Appl. Math.1988, 41:909-996[11]Panagiotou, P, Anastasopoulos, A, Polydoros A. likelihood ratio tests for modulation classification. MILCOM 2000, 21st Century Military Communications Conference Proceedings, 22-25 Oct., 2000, Vol.2: 670-674.
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