Signal Modulation Recognition Based on Improved Convolutional Neural Networks
Signal modulation identification is an important part of communication reconnaissance.In modern war,the cases such as increasing signal density,more complex waveform,more and more modulation types,large environmental interference,etc.lead to more complex electromagnetic envi-ronment of communication reconnaissance,which results in more and more difficult signal modula-tion identification.In recent years,neural network algorithms have been greatly developed,and con-volutional neural network algorithms have been widely used in various fields.In this paper,an im-proved convolutional neural network is used for signal modulation recognition,and a more accurate recognition effect is obtained.
signal modulation recognitionconvolutional neural networkdeep learning
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