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Wavelet modulation (WM) signal is a special kind of multi-carrier modulation signals (MCMS). Based on the time-frequency characteristics of WM signal, this paper use the mixed moments of the adaptive optimal kernel (AOK) time-frequency distribution to study the identification of multi-carrier modulation signals. Simulation results show that, this method can separate wavelet modulation signal from OFDM signal, also it can identify wavelet modulation signals of different levels.

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.