Abstract:Underwater environments create a challenging channel for communications. In this paper, we design a novel receiver system by exploring the machine learning technique-Deep Belief Network (DBN)-to combat the signal distortion caused by the Doppler effect and multi-path propagation. We evaluate the performance of the proposed receiver system in both simulation experiments and sea trials. Our proposed receiver system comprises of DBN based de-noising and classification of the received signal. First, the received s… Show more
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