Low-Rank MMWAVE MIMO Channel Estimation in One-Bit Receivers
Nitin Jonathan Myers, Kayla N. Tran, Robert W. Heath Jr.
Abstract
Receivers with one-bit analog-to-digital converters (ADCs) are promising for high bandwidth millimeter wave (mmWave) systems as they consume less power than their full resolution counterparts. The extreme quantization in one-bit receivers and the use of large antenna arrays at mmWave make channel estimation challenging. In this paper, we develop channel estimation algorithms that exploit the low-rank property of mmWave channels. We also propose a novel training solution that results in a low complexity implementation of our algorithms. Simulation results indicate that the proposed methods achieve better channel reconstruction than compressed sensing-based techniques that exploit sparsity of mmWave channels.
BibTeX
@inproceedings{icassp2020_lowrankmmwavemim,
title = {Low-Rank MMWAVE MIMO Channel Estimation in One-Bit Receivers},
author = {Nitin Jonathan Myers and Kayla N. Tran and Robert W. Heath Jr.},
booktitle = {ICASSP 2020},
year = {2020}
}