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In order to effectively solve the problems of low recognition rate of modulation type and high recognition error of modulation intensity in automatic modulation recognition of communication signals, an automatic modulation recognition method of communication signals based on multi terminal CNN was studied. According to the principle of different types of modulation methods, the communication signal modulation identification standard is set. Considering the transmission process of the communication signal, the communication signal model is constructed, and the initial communication signal is collected by using the bandpass sampling tool. The preprocessing of the initial signal is completed through wavelet denoising, normalization and other steps. The multi terminal CNN algorithm is used to build a communication signal recognizer, extract the amplitude, phase, frequency and other communication signal characteristic parameters, and obtain the recognition results of signal modulation type and intensity through feature matching, realize automatic modulation recognition of communication signals. By comparing with the traditional recognition methods, it is concluded that the recognition rate of modulation type is improved by 49.6% and the recognition error of modulation intensity is reduced by 0.0285 by considering the two types of communication signals with and without interference.