Title :
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
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;
Conference_Titel :
Communications and Mobile Computing, 2009. CMC '09. WRI International Conference on
Conference_Location :
Yunnan
Print_ISBN :
978-0-7695-3501-2
DOI :
10.1109/CMC.2009.117
