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An Intelligent Maritime Communication Signal Recognition Algorithm based on ACWGAN

In maritime communications systems, there are marine VHF communications systems that meet GMDSS standards in addition to AIS and VDES systems which use very high-frequency signals for information communications such as security rescue. But because its communication does not contain the identity information, the channel is easy to be occupied maliciously, thus interferes in normal maritime communication. This paper studies and analyzes the individual identification technology of the VHF signal based on the rf fingerprint technology of signal. Using the improved adversarial generation network ACWGAN(Auxiliary Classifier Wasserstein Generative Adversarial Networks) to train and identify, we obtain a better classification result. The recognition rate can reach 94% when the SNR is 5 dB for 10 different classes of VHF signal.