A Semi-Blind Multiuser SIMO GFDM System in the Presence of CFOs and IQ Imbalances

Liu, Yujie, Zhu, Xu ORCID: 0000-0002-7371-4595, Lim, Eng Gee ORCID: 0000-0003-0199-7386, Jiang, Yufei and Huang, Yi ORCID: 0000-0001-7774-1024 (2021) A Semi-Blind Multiuser SIMO GFDM System in the Presence of CFOs and IQ Imbalances. IEEE Transactions on Wireless Communications, 21 (1). p. 1.

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Official URL: http://dx.doi.org/10.1109/twc.2021.3093476

Abstract

In this paper, we investigate an open topic of a multiuser single-input-multiple-output (SIMO) generalized frequency division multiplexing (GFDM) system in the presence of carrier frequency offsets (CFOs) and in-phase/quadrature-phase (IQ) imbalances. A low-complexity semi-blind joint estimation scheme of multiple channels, CFOs and IQ imbalances is proposed. By utilizing the subspace approach, CFOs and channels corresponding to $U$ users are first separated into $U$ groups. For each individual user, CFO is extracted by minimizing the smallest eigenvalue whose corresponding eigenvector is utilized to estimate channel blindly. The IQ imbalance parameters are estimated jointly with channel ambiguities by very few subcarriers. The proposed scheme is feasible for a wider range of receive antennas number and has no constraints on the assignment scheme of subsymbols and subcarriers, modulation type, cyclic prefix length and the number of subsymbols per GFDM symbol. Simulation results show that the proposed scheme significantly outperforms the existing methods in terms of bit error rate, outage probability, mean-square-errors of CFO estimation, channel and IQ imbalance estimation, while at much higher spectral efficiency and lower computational complexity. The Cramér-Rao lower bound is derived to verify the effectiveness of the proposed scheme, which is shown to be close to simulation results.

Item Type:	Article
Uncontrolled Keywords:	Generalized frequency division multiplexing (GFDM), single-input-multiple-output (SIMO), semi-blind, carrier frequency offset (CFO), IQ imbalance, channel estimation
Divisions:	Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User:	Symplectic Admin
Date Deposited:	18 Oct 2021 07:18
Last Modified:	17 Mar 2024 12:32
DOI:	10.1109/twc.2021.3093476
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3140712