Automatic digital modulation classification using instantaneous features

摘要: In this paper, we propose a simple, effective and robust method based on the statistical moments of instantaneous features to classify digital modulation signals. This adopts tree structure scheme uses different in each branch make full use distinguishing type's characteristics. The proposed is capable differentiating ASK2, ASK4, FSK2, FSK4, PSK2 PSK4 signals at output typical high frequency channel with white Gaussian noise, multi-path delay Doppler shift. Unlike most other existing methods, our assumes no prior information incoming signal (symbol rate, carrier frequency, amplitude etc.). Extensive simulation results demonstrate that approach various practical situations.