Digital Modulation Recognition Based on Feature, Spectrum and Phase Analysis and its Testing with Disturbed Signals

摘要

The paper describes algorithm for the classification of digital modulations and testing of this algorithm with disturbed signals. 2ASK, 2FSK, 4FSK, MSK, BPSK, QPSK, 8PSK and 16QAM were chosen for recognition as the best-known digital modulations used in modern communication technologies. The algorithm is based on the evaluation of spectral power density of the normalized-centered instantaneous amplitude of the signal, and its spectrum and instantaneous phase analysis. We used multipath fading channel to model signal propagation and disturbed the signal by white Gaussian noise for the purpose of testing the algorithm.