DocumentCode
3416617
Title
Identification of the Wavelet Packet Modulation Signals Based on Fractional Fourier Transform
Author
Li, Shuangxia ; Tang, Xianghong ; Dong, Tingliang ; Ma, Dandan
Author_Institution
Sch. of Commun. Eng., Hangzhou Dianzi Univ., Hangzhou, China
Volume
1
fYear
2010
fDate
23-24 Oct. 2010
Firstpage
111
Lastpage
115
Abstract
According to the modulation principles of orthogonal frequency division multiplexing (OFDM) and wavelet packet modulation (WPM), this paper discusses the modulation identification for WPM signals from the OFDM signals based on fractional Fourier transform (FRFT). The FRFT clustering area of the signals is used as the classification feature parameter. Simulations are carried out in additive white Gaussian noise (AWGN), Rayleigh fading and frequency selective fading channels. It is shown that the new algorithm works well for all the considered channels, indicating potential applications in the recognition of WPM signals in blind channels.
Keywords
AWGN; Fourier transforms; OFDM modulation; Rayleigh channels; fading; wavelet transforms; Rayleigh fading; additive white Gaussian noise; classification feature parameter; fractional Fourier transform; frequency selective fading channels; orthogonal frequency division multiplexing; wavelet packet modulation signals; Fading; Fourier transforms; Modulation; OFDM; Time frequency analysis; Wavelet packets; fractional Fourier transform; modulation identification; wavelet packet modulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location
Sanya
Print_ISBN
978-1-4244-8432-4
Type
conf
DOI
10.1109/AICI.2010.30
Filename
5656589
Link To Document