LMMSE channel estimation in OFDM context: a review

V Savaux, Y Louët - IET Signal Processing, 2017 - Wiley Online Library
Linear minimum mean square error (LMMSE) is by definition the optimal channel estimator
in the sense of mean square error criterion, but its practical application is limited by its high …

Successive localization and beamforming in 5G mmWave MIMO communication systems

B Zhou, A Liu, V Lau - IEEE Transactions on Signal Processing, 2019 - ieeexplore.ieee.org
Beamforming is an attractive technique to improve the system performance for multi-input
multi-output (MIMO) communications. Previous works mainly focus on improving the data …

Deep-waveform: A learned OFDM receiver based on deep complex-valued convolutional networks

Z Zhao, MC Vuran, F Guo… - IEEE Journal on Selected …, 2021 - ieeexplore.ieee.org
The (inverse) discrete Fourier transform (DFT/IDFT) is often perceived as essential to
orthogonal frequency-division multiplexing (OFDM) systems. In this paper, a deep complex …

Semi-blind, training, and data-aided channel estimation schemes for MIMO-FBMC-OQAM systems

P Singh, HB Mishra, AK Jagannatham… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
This paper considers and analyzes the performance of semiblind, training, and data-aided
channel estimation schemes for multiple-input multiple-output (MIMO) filter bank multicarrier …

Convolutional neural network based filter bank multicarrier system for underwater acoustic communications

Y Zhu, B Wang, Y Zhang, J Li, C Wu - Applied Acoustics, 2021 - Elsevier
This paper presents a convolutional neural network (CNN) based filter bank multicarrier
(FBMC) system for underwater acoustic (UWA) communications. Different from traditional …

A low-complexity channel estimation for OFDM systems based on CIR length adaptation

HR Park - IEEE Access, 2022 - ieeexplore.ieee.org
This paper addresses an adaptive implementation of frequency-domain channel estimators
for orthogonal frequency-division multiplexing (OFDM) systems to reduce computational …

Sparse Bayesian learning aided estimation of doubly-selective MIMO channels for filter bank multicarrier systems

P Singh, S Srivastava, A Mishra… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Sparse Bayesian learning (SBL)-based channel state information (CSI) estimation schemes
are developed for filter bank multicarrier (FBMC) systems using offset quadrature amplitude …

Compensation of chromatic dispersion and nonlinear phase noise using iterative soft decision feedback equalizer for coherent optical FBMC/OQAM systems

KA Alaghbari, HS Lim, T Eltaif - Journal of Lightwave Technology, 2020 - opg.optica.org
In this article, we propose an iterative soft decision feedback (ISDF) equalizer to compensate
for the chromatic dispersion and nonlinear phase noise effects in 30-Gbaud coherent optical …

Compressive sensing-based channel estimation for FBMC-OQAM system under doubly selective channels

Z He, L Zhou, Y Yang, Y Chen, X Ling, C Liu - IEEE Access, 2019 - ieeexplore.ieee.org
Filter-bank multicarrier with offset quadrature amplitude modulation (FBMC-OQAM) has
been considered as an alternative scheme to orthogonal frequency division multiplexing …

Preamble-based channel estimation for OQAM/FBMC systems with delay diversity

W Liu, S Schwarz, M Rupp, D Chen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Delay diversity (DD) is a low-complexity and flexible transmit diversity technology for coded
offset quadrature amplitude modulation based filter bank multicarrier (OQAM/FBMC) …