Digital Modulation Identification by Wavelet Analysis

Authors:
Jian Chen;Yonghong Kuo;Jiandong Li;Fenglin Fu;Yubao Ma
Affiliations:
Xidian University;Xidian University;Xidian University;Xidian University;Xidian University
Venue:
ICCIMA '05 Proceedings of the Sixth International Conference on Computational Intelligence and Multimedia Applications
Year:
2005

Citing 0
Cited 3

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Automatic classification of amplitude, frequency, and phase shift keyed signals in the wavelet domain

Sarnoff'10 Proceedings of the 33rd IEEE conference on Sarnoff

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Abstract

There is a need to determine the modulation type of an incoming signal. This paper proposes the use of the wavelet transform (WT) for modulation identification of digital signals without requiring any priori knowledge. The identifier consists of inter-class and intra-class identification. Different features have been used for different signals to increase the number of identification types and improve the processing rate. The performance of correct identification is increased too.