Research on Modulation Recognition Algorithm of Submarine Modulation Signal

Abstract

By studying the characteristics of four modulation signals of CW, OOK, FSK and MSK, the pattern recognition method based on characteristic parameter extraction is used to identify, and three characteristic parameters of four modulation signals are extracted. The classification flow chart based on decision tree classifier is designed and simulated with MATLAB. The results show that the method can recognize the submarine signal effectively. When the signal to noise ratio is 10dB, the correct recognition rate of the signal is above 92.1%, especially, the MSK signal can be identified by 100%.