On the Role of Sparsity and Intra-vector Correlation in mmWave Channel Estimation

Prasanna, D and Murthy, CR (2020) On the Role of Sparsity and Intra-vector Correlation in mmWave Channel Estimation. In: 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2020, 26-29 May 2020, Atlanta; United States.

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Abstract

In this paper, we study the role of sparsity and intra-vector correlation in the problem of multiuser multiple-input multiple-output millimeter wave channel estimation. In order to estimate the channel, we formulate a hierarchical zero mean correlated Gaussian prior with covariance matrix that can incorporate known correlation models while at the same time inducing spatial sparsity. For this prior, we develop a Bayesian algorithm based on evidence maximization to recover the correlated sparse vector. The solution to the hyperparameter update in the resulting algorithm is obtained as a fixed-point iteration. We empirically evaluate the proposed algorithm in terms of the normalized mean squared error in channel estimation under orthogonal pilots, and compare it against genie-Aided estimators and standard sparse recovery methods. The results demonstrate that exploiting correlation can provide significant performance gains, even with imperfect channel covariance information. © 2020 IEEE.

Item Type:	Conference Paper
Publication:	IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright of this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords:	Covariance matrix; Iterative methods; Mean square error; Millimeter waves; MIMO systems; Signal processing; Testbeds; Trellis codes, Bayesian algorithms; Correlation models; Covariance information; Fixed point iteration; Imperfect channels; Multi user multiple input multiple outputs; Normalized mean squared errors; Vector correlations, Channel estimation
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	25 Sep 2020 09:28
Last Modified:	25 Sep 2020 09:28
URI:	http://eprints.iisc.ac.in/id/eprint/66619

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