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Real-Valued Orthogonal Sequences for Ultra-Low Overhead Channel Estimation in MIMO-FBMC Systems

Hu, S, Zhang, J, Tang, W, Liu, Zilong, Xiao, Pei and Gao, Y (2018) Real-Valued Orthogonal Sequences for Ultra-Low Overhead Channel Estimation in MIMO-FBMC Systems In: Machine Learning and Intelligent Communications. MLICOM 2018. Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 251) . Springer, pp. 162-171. ISBN 978-3-030-00556-6

MLICOM2018 - Real-valued orthogonal sequences for MIMO-FBMC.pdf - Accepted version Manuscript

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Multiple-input multiple-output filterbank multicarrier communication (MIMO-FBMC) is a promising technique to achieve very tight spectrum confinement (thus, higher spectral efficiency) as well as strong robustness against dispersive channels. In this paper, we present a novel training design for MIMO-FBMC system which enables efficient estimate of frequency-selective channels (associated to multiple transmit antennas) with only one non-zero FBMC symbol. Our key idea is to design real-valued orthogonal training sequences (in the frequency domain) which displaying zero-correlation zone properties in the time-domain. Compared to our earlier proposed training scheme requiring at least two non-zero FBMC symbols (separated by several zero guard symbols), the proposed scheme features ultra-low training overhead yet achieves channel estimation performance comparable to our earlier proposed complex training sequence decomposition(CTSD). Our simulations validate that the proposed method is an efficient channel estimation approach for practical preamble-based MIMO-FBMC systems.

Item Type: Book Section
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
Hu, S
Zhang, J
Tang, W
Gao, Y
Editors :
Meng, L
Zhang, Y
Date : 12 October 2018
DOI : 10.1007/978-3-030-00557-3_17
Copyright Disclaimer : Copyright Springer 2018
Uncontrolled Keywords : Filterbank multicarrier; MIMO-FBMC; Channel estimation; Preamble; Real-valued orthogonality; Zero-correlation zone sequences
Additional Information : Paper presented at MLICOM 2018 International Conference on Machine Learning and Intelligent Communications, 6th to 8th July 2018 Hangzhou, China
Depositing User : Melanie Hughes
Date Deposited : 01 Jun 2018 11:26
Last Modified : 23 Nov 2018 17:05

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