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Abstract
We implement and design 8 digital modulations are: 2ASK, 2FSK, 4ASK, 4FSK, 2PSK, 4PSK, DPSK, and 16QAM. The maximum value of spectral density of normalized centered amplitude and the average value of normalized absolute centered instantaneous phase deviation choose as key features for digital modulation recognizer based on the ANN. We used the Rayleigh fading channel to model signals propagation and corrupted the signals by additive white gaussian noise (AWGN) for testing the algorithm. The simulation results show that the ANN could be recognized the different types of the PUs and corrected classify the signals in its current state of development