Identification of Wavelet Modulation Based on Gaussian Detection and Kurtosis of Power Spectrum

Author

Tang, Xianghong ; Li, Liyue ; Zhao, Ling

Author_Institution

Sch. of Commun. Eng., Hangzhou Dianzi Univ., Hangzhou

Volume

1

fYear

2009

fDate

6-8 Jan. 2009

Firstpage

181

Lastpage

185

Abstract

Wavelet modulation is a new type of multi-carrier modulation, this paper based on the asymptotically Gaussian distribution and frequency spectrum´s feature of OFDM and wavelet modulated (WM) signal, studies the recognition of wavelet modulated signal in the additive white Gaussian noise channel. Using the joint estimation of the signal to noise ratio (SNR) and features value based on higher order moments and kurtosis of power spectrum can respectively identify single-carrier modulated signals and multi-carrier modulated signals; OFDM and WM signal. Simulation results show that good performance is obtained and Gaussian noise interference is eliminated.

Keywords

AWGN channels; Gaussian processes; OFDM modulation; intercarrier interference; wavelet transforms; Gaussian detection; Gaussian noise interference; OFDM; additive white Gaussian noise channel; asymptotically Gaussian distribution; frequency spectrum; joint estimation; kurtosis; multicarrier modulated signals; multicarrier modulation; power spectrum; signal to noise ratio; single-carrier modulated signals; wavelet modulated signal; wavelet modulation; AWGN; Additive white noise; Frequency; Gaussian distribution; Gaussian noise; Mobile communication; OFDM modulation; Signal processing; Signal to noise ratio; Wavelet domain; higher order moments; modulation identification; wavelet-modulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications and Mobile Computing, 2009. CMC '09. WRI International Conference on

Conference_Location

Yunnan

Print_ISBN

978-0-7695-3501-2

Type

conf

DOI

10.1109/CMC.2009.117

Filename

4796981