DocumentCode :
2530397
Title :
Digital modulation identification by wavelet analysis
Author :
Chen, Jian ; Kuo, Yonghong ; Li, Jiandong ; Fu, Fenglin ; Ma, Yubao
Author_Institution :
Nat. Key Lab., Xidian Univ., Xi´´an, China
fYear :
2005
fDate :
16-18 Aug. 2005
Firstpage :
29
Lastpage :
34
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.
Keywords :
digital signals; modulation; wavelet transforms; digital modulation identification; digital signal; inter-class identification; intra-class identification; wavelet analysis; Binary phase shift keying; Continuous wavelet transforms; Digital modulation; Feature extraction; Frequency domain analysis; Low pass filters; Quadrature phase shift keying; Signal processing; Wavelet analysis; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Multimedia Applications, 2005. Sixth International Conference on
Print_ISBN :
0-7695-2358-7
Type :
conf
DOI :
10.1109/ICCIMA.2005.23
Filename :
1540699
Link To Document :
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