Automatic classification of digitally modulated signals based on K-nearest neighbor

Abstract

In this paper, we propose an automatic classification method for eight digitally modulated signals, such as 2FSK, 4FSK, MSK, BPSK, QPSK, 8PSK, 16QAM, and 64QAM. The method uses spectral correlation density and high-order cumulants as features. For feature classification, K-nearest neighbor algorithm is used. Simulation results are demonstrated to evaluate the proposed scheme.