New AMR(Automatic Modulation Recognition) algorithm based on the phase difference tendency of unknown communication signal

This paper is about the practical algorithm of an AMR (Automatic Modulation Recognition) algorithm that automatically classifies the modulation scheme without no prior knowledge of communication signal. In general, most of the previously proposed AMR algorithms assume that a certain level of information known in advance but most of all make it difficult to apply to signals in real environments such as hostile communication.In this paper, to obtain modulation information for the target signal, the phase difference tendency of the input signal is used to classify it into PSK (Phase Shift Keying) and FSK (Frequency Shift Keying) classes and then the characteristics of the M-signal are used. Squared Auto Correlation Function (ACF) processed vector to determine modulation index M for MPSK signal. This paper is for an algorithm that proposes a method to determine the modulation index M of an MPSK signal without complex calculations using the M-square characteristic of ACF.