Abstract: This study proposes an unsupervised deep learning-based (DL-based) approach to precoding design for integrated sensing and communication (ISAC) systems. Designing a dynamic precoder that can ...
Abstract: This paper addresses the interference suppression problem in frequency modulated continuous wave (FMCW) radars. We propose an unsupervised learning framework based on an autoencoder ...
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