By identifying the working mode of the communication radiation source, its behavioral intent can be comprehended. Tactical data link is a kind of classic communication radiation source with a variety of working modes. Aiming at the typical data link TADIL A, a method for extracting one-dimensional time-frequency features of signals using short-time Fourier transform (STFT) is proposed. Then, one-dimensional Convolutional Neural Network (CNN) DenseNet-1D is used for training and testing to complete the task of identifying different working modes. The experimental results illustrate that the working mode recognition based on the physical layer signal is feasible.
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