A Novel Method for Millimetre-Wave Channel Estimation for 1-bit Quantized Receivers using Low-Rank Matrix Constraints

Bhattacharya, S and Hari, KVS (2022) A Novel Method for Millimetre-Wave Channel Estimation for 1-bit Quantized Receivers using Low-Rank Matrix Constraints. In: 14th IEEE International Conference on Signal Processing and Communications, SPCOM 2022, 11 July 2022 through 15 July 2022.

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Abstract

Analog-to-digital converters (ADCs) for millimetre-wave (mmWave) systems have to operate at a very high sampling rate due to the high bandwidth involved. This leads to huge power consumption. One way to reduce the power consumption is to design low resolution ADCs - 1-bit ADCs in the extreme case. However, channel estimation in such receivers is a challenging task due to the non-linearity introduced. Previous estimation methods utilised the low-rank property of mmWave channels. This paper proposes two methods which use additional constraints of entry-wise infinity norm and angular sparsity which improves the normalised mean square error of the channel estimates, by upto 4.5 dB, for a range of signal-to-noise ratio values and various antenna configurations. © 2022 IEEE.

Item Type:	Conference Paper
Publication:	SPCOM 2022 - IEEE International Conference on Signal Processing and Communications
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to the IEEE.
Keywords:	Analog to digital conversion; Antennas; Channel estimation; Electric power utilization; Mean square error; Signal to noise ratio, Analog to digital converters; Bit matrixes; Compressed-Sensing; Low rank channel; Low resolution receiver; Lower resolution; Matrix completion; MIMO channel estimation; One bit matrix completion; Wave channels, Millimeter waves
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	06 Sep 2022 07:30
Last Modified:	06 Sep 2022 07:30
URI:	https://eprints.iisc.ac.in/id/eprint/76488

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