Abstract: In this paper, we propose a deep learning (DL)-based joint direction of arrival (DoA) estimation and automatic modulation classification algorithm to identify overlapped signals. The ...
Model training employed unsupervised and self-supervised strategies. We compared our model’s performance to conventional BA estimation approaches, including Klemera and Doubal’s method, a CA ...
Abstract: Underwater acoustic communication systems face considerable challenges due to the joint distortion of delay and Doppler in time-varying channels. Traditional grid-based channel estimation ...
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