Joint Channel-Estimation/Decoding With Frequency-Selective Channels and Few-Bit ADCs

DOI10.1109/TSP.2018.2887189zbMATH Open1415.94382arXiv1807.02494OpenAlexW2798565987MaRDI QIDQ4628246

Author name not available (Why is that?)

Publication date: 6 March 2019

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Abstract: We propose a fast and near-optimal approach to joint channel-estimation, equalization, and decoding of coded single-carrier (SC) transmissions over frequency-selective channels with few-bit analog-to-digital converters (ADCs). Our approach leverages parametric bilinear generalized approximate message passing (PBiGAMP) to reduce the implementation complexity of joint channel estimation and (soft) symbol decoding to that of a few fast Fourier transforms (FFTs). Furthermore, it learns and exploits sparsity in the channel impulse response. Our work is motivated by millimeter-wave systems with bandwidths on the order of Gsamples/sec, where few-bit ADCs, SC transmissions, and fast processing all lead to significant reductions in power consumption and implementation cost. We numerically demonstrate our approach using signals and channels generated according to the IEEE 802.11ad wireless local area network (LAN) standard, in the case that the receiver uses analog beamforming and a single ADC.

Full work available at URL: https://arxiv.org/abs/1807.02494

Mathematics Subject Classification ID

Decoding (94B35) Channel models (including quantum) in information and communication theory (94A40) Source coding (94A29)

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