Deep-Learning-Based Carrier Frequency Offset Estimation and Its Cross-Evaluation in Multiple-Channel Models
Z Wang, S Wei, L Zou, F Liao, W Lang, Y Li - Information, 2023 - mdpi.com
The most widely used Wi-Fi wireless communication system, which is based on OFDM, is
currently developing quickly. The receiver must, however, accurately estimate the carrier …
currently developing quickly. The receiver must, however, accurately estimate the carrier …
Carrier frequency offset estimation in 5G NR: Introducing gradient boosting machines
M Hussien, A Abdelmoaty, M Elsaadany… - IEEE …, 2023 - ieeexplore.ieee.org
The Beyond fifth Generation (B5G) communication systems imposed several challenges on
radio designers. For example, a machine is required to set up a call at a low Signal-to-Noise …
radio designers. For example, a machine is required to set up a call at a low Signal-to-Noise …
Deep Learning-Based Frequency Offset Estimation
T Chen, S Zheng, J Zhu, Q Xuan, X Yang - arXiv preprint arXiv:2311.16155, 2023 - arxiv.org
In wireless communication systems, the asynchronization of the oscillators in the transmitter
and the receiver along with the Doppler shift due to relative movement may lead to the …
and the receiver along with the Doppler shift due to relative movement may lead to the …
Deep learning-based carrier frequency offset estimation with one-bit ADCs
Low resolution architectures are a power efficient solution for high bandwidth
communication at millimeter wave and terahertz frequencies. In such systems, carrier …
communication at millimeter wave and terahertz frequencies. In such systems, carrier …
A novel subspace-based carrier frequency offset estimator for OFDM-based WLANs with DC offset
H Zou, Y Wan - 2012 2nd International Conference on …, 2012 - ieeexplore.ieee.org
Orthogonal frequency-division multiplexing (OFDM) has been considered as a promising
candidate technology for high speed wireless communication systems. However, the …
candidate technology for high speed wireless communication systems. However, the …
CNN-Attention-DNN design for CFO estimation of non-pilot-assisted OFDM system
In this letter, we propose a novel attention mechanism inspired convolutional neural network
(CNN)-deep neural network (DNN) called CAD model architecture for carrier frequency …
(CNN)-deep neural network (DNN) called CAD model architecture for carrier frequency …
Efficient carrier frequency offset estimation in wireless sensor networks
S Liu, S Wang - IEEE Sensors Letters, 2023 - ieeexplore.ieee.org
The carrier frequency offset (CFO) estimation is a crucial problem in orthogonal frequency
division multiplexing (OFDM) systems, especially for the enabling technologies in the …
division multiplexing (OFDM) systems, especially for the enabling technologies in the …
Deep learning-based packet detection and carrier frequency offset estimation in IEEE 802.11 ah
V Ninkovic, A Valka, D Dumic, D Vukobratovic - IEEE Access, 2021 - ieeexplore.ieee.org
Wi-Fi systems based on the IEEE 802.11 standards are the most popular wireless interfaces
that use Listen Before Talk (LBT) method for channel access. The distinctive feature of a …
that use Listen Before Talk (LBT) method for channel access. The distinctive feature of a …
STO estimation for OFDM system using CDM
MS Chaudhari, S Majhi - IEEE Communications Letters, 2022 - ieeexplore.ieee.org
In this letter, we propose a novel scheme for symbol timing offset (STO) estimation by using
a convolutional neural network (CNN)-deep neural network (DNN) model (CDM) …
a convolutional neural network (CNN)-deep neural network (DNN) model (CDM) …
Enhanced carrier frequency offset estimation for OFDM using channel side information
D Huang, KB Letaief - IEEE transactions on wireless …, 2006 - ieeexplore.ieee.org
Carrier frequency offset (CFO) in OFDM systems, which induces the loss of orthogonality
among OFDM subcarriers, can result in significant performance degradation. As a result, it …
among OFDM subcarriers, can result in significant performance degradation. As a result, it …