Automatic Modulation Classification Based on Deep Learning for Software-Defined Radio

Figure 12

The classification accuracy of each modulated signal using the six methods from −20 dB to 18 dB. (a) The classification accuracy of each modulated signal using CNN. (b) The classification accuracy of each modulated signal using Inception. (c) The classification accuracy of each modulated signal using LSTM. (d) The classification accuracy of each modulated signal using ResNet. (e) The classification accuracy of each modulated signal using MentorNet. (f) The classification accuracy of each modulated signal using the proposed method.

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