Identification of Wavelet Modulation Signals Based on Time-Frequency Mixed Moment

摘要

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.