Tensor Rank Regularization with Bias Compensation for Millimeter Wave Channel Estimation

Tensor Rank Regularization with Bias Compensation for Millimeter Wave Channel Estimation

This paper presents a novel method of tensor rank regularization with bias compensation for channel estimation in a hybrid millimeter wave MIMO-OFDM system. Channel estimation is challenging due to the unknown number of multipath components that determines the channel rank. In general, finding the i...

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Bibliographic Details
Main Authors:	Fei He, Andrew Harms, Lamar Yaoqing Yang
Format:	Article
Language:	English
Published:	MDPI AG 2022-09-01
Series:	Signals
Subjects:	tensor rank sparsity CP tensor decomposition channel estimation millimeter wave hybrid-MIMO
Online Access:	https://www.mdpi.com/2624-6120/3/4/40

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