Many scholars at home and abroad have done a lot of in-depth research on signal modulation recognition,and devised a variety of modulation recognition methods.However,among these recognition algorithms,the recognition effect of Multiple Phase Shift Keying(MPSK)signals is not ideal.The article will use a deep learning recognition model to identify the type of MPSK modulation signal using the relevant features of the signal's time-frequency map and constellation map,and make decision fusion based on the recognition results of the time-fre-quency and constellation graphs.The recognition effects of the three methods are compared to achieve substantial improvement of MPSK signal recognition effect.
关键词
深度学习/调制识别/多进制相移键控/决策融合
Key words
deep learning/modulation identification/multiple phase shift keying/decision fu-sion
维普
万方数据