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LoRD-Net: Unfolded Deep Detection Network with Low-Resolution Receivers
[article]
2021
arXiv
pre-print
The need to recover high-dimensional signals from their noisy low-resolution quantized measurements is widely encountered in communications and sensing. In this paper, we focus on the extreme case of one-bit quantizers, and propose a deep detector entitled LoRD-Net for recovering information symbols from one-bit measurements. Our method is a model-aware data-driven architecture based on deep unfolding of first-order optimization iterations. LoRD-Net has a task-based architecture dedicated to
arXiv:2102.02993v1
fatcat:bzzbnqshdjdetpboyve4xlkk64