Sparse channel estimation for MIMO-OFDM systems using compressed sensing
PN Jayanthi, S Ravishankar - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
One of the major challenge for practical Multiple Output-Orthogonal Frequency Division
Multiplexing (MIMO-OFDM) system is the accurate channel estimation which is very …
Multiplexing (MIMO-OFDM) system is the accurate channel estimation which is very …
Optimized semiblind sparse channel estimation algorithm for MU-MIMO OFDM system
Abstract In Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing (MIMO-
OFDM) systems, the channel plays an imperative role as the multipath. The channel …
OFDM) systems, the channel plays an imperative role as the multipath. The channel …
[HTML][HTML] Deep learning peephole LSTM neural network-based channel state estimators for OFDM 5G and beyond networks
MH Essai Ali, AR Abdellah, HA Atallah, GS Ahmed… - Mathematics, 2023 - mdpi.com
This study uses deep learning (DL) techniques for pilot-based channel estimation in
orthogonal frequency division multiplexing (OFDM). Conventional channel estimators in pilot …
orthogonal frequency division multiplexing (OFDM). Conventional channel estimators in pilot …
A study on MIMO channel estimation by 2D and 3D convolutional neural networks
B Marinberg, A Cohen, E Ben-Dror… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
In this paper we study the usage of Convolutional Neural Network (CNN) estimators for the
task of Multiple-Input-Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO …
task of Multiple-Input-Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO …
Deterministic pilot sequences for sparse channel estimation in OFDM systems
L Applebaum, WU Bajwa… - … on Digital Signal …, 2011 - ieeexplore.ieee.org
This paper examines the problem of multipath channel estimation in single-antenna
orthogonal frequency division multiplexing (OFDM) systems. In particular, we study the …
orthogonal frequency division multiplexing (OFDM) systems. In particular, we study the …
Alternative threshold-based channel estimation and message-passing-based symbol detection in MIMO-OTFS systems using superimposed pilots
R Ouchikh, A Aïssa-El-Bey, T Chonavel… - Physical …, 2023 - Elsevier
In this work, we investigate the challenging problem of channel estimation in high-mobility
environments for advanced mobile communication systems (5G and beyond). First, we …
environments for advanced mobile communication systems (5G and beyond). First, we …
Iterative channel estimation and data detection algorithm for MIMO-OTFS systems
R Ouchikh, T Chonavel, A Aïssa-El-Bey… - Digital Signal …, 2023 - Elsevier
Channel estimation in high-mobility environments is a challenging problem for advanced
mobile communication systems (5G and beyond). In this manuscript, we first propose an …
mobile communication systems (5G and beyond). In this manuscript, we first propose an …
Channel estimation with ISFLA based pilot pattern optimization for MIMO OFDM system
H Singh, S Bansal - AEU-International Journal of Electronics and …, 2017 - Elsevier
In multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM)
systems, the channel state information should be known by the receiver for obtaining …
systems, the channel state information should be known by the receiver for obtaining …
Theoretical foundation and design guideline for reservoir computing-based mimo-ofdm symbol detection
In this paper, we derive a theoretical upper bound on the generalization error of reservoir
computing (RC), a special category of recurrent neural networks (RNNs). The specific RC …
computing (RC), a special category of recurrent neural networks (RNNs). The specific RC …