Modulation recognition method of communication signals based on correlation characteristics

Abstract

The paper puts forward a method of modulation recognition of communication signals based on their correlation characteristics under the ideal gauss white noise conditions. The spectrum peaks' amounts, amplitudes, and location variance of signals' delay correlation and instantaneous correlation were extracted as the feature parameters. As the simulation results shown, compared to other modulation recognition methods, this method can recognize more modulation types and has a better effect in low SNR conditions. It is not sensitive about the deviation of carrier frequency, too.