Deep learning based channel estimation method for mine OFDM system
M Wang, A Wang, Z Liu, J Chai - Scientific Reports, 2023 - nature.com
In this paper, we present a channel estimation approach based on deep learning to solve
the problem that the orthogonal frequency division multiplexing (OFDM) system channel …
the problem that the orthogonal frequency division multiplexing (OFDM) system channel …
A pilot aided channel estimator using DFT based time interpolator for massive MIMO-OFDM systems
P Sure, CM Bhuma - AEU-International Journal of Electronics and …, 2015 - Elsevier
Massive multi input multi output orthogonal frequency division multiplexing (MIMO-OFDM)
systems are progressively improving the current wireless communication standards towards …
systems are progressively improving the current wireless communication standards towards …
User-Independent Randomized Pilot Activation for Secure Key Generation
In this paper, we propose a novel physical-layer secret key generation (SKG), which
randomly activates a pilot sequence during the channel probing phase. Each legitimate user …
randomly activates a pilot sequence during the channel probing phase. Each legitimate user …
A 4-elements performance analysis of compact UWB antenna for MIMO-OFDM systems
W Abd Ellatif, D Abd El Aziz… - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
In this paper, four-elements multiple-input-multiple-output (MIMO) antenna is presented for
ultrawideband (UWB) applications. The proposed UWB MIMO array has dimensions of 40× …
ultrawideband (UWB) applications. The proposed UWB MIMO array has dimensions of 40× …
Channel estimation based on statistical frames and confidence level in OFDM systems
X Zhou, C Wang, R Tang, M Zhang - Applied Sciences, 2018 - mdpi.com
Featured Application This channel estimation method can be utilized to improve the
communication quality of OFDM receiver. Abstract Channel estimation is an important …
communication quality of OFDM receiver. Abstract Channel estimation is an important …
Advancing Multiband OFDM Channel Sounding: An Iterative Time Domain Estimation for Spectrally Constrained Systems
The emerging wireless applications are facing new challenges in combating frequency
congestion. As a result, the opportunistic utilization of available frequency spectrum and …
congestion. As a result, the opportunistic utilization of available frequency spectrum and …
A novel iterative OFDMA channel estimation technique for DOCSIS 3.1 uplink channels
TT Nguyen, B Berscheid, HH Nguyen… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
This paper presents an orthogonal frequency division multiple access (OFDMA) channel
estimation technique that jointly considers the effects of coarse timing error and multipath …
estimation technique that jointly considers the effects of coarse timing error and multipath …
An improved SAMP scheme for sparse OFDM channel estimation
G Li, T Li - 2019 IEEE 8th Joint International Information …, 2019 - ieeexplore.ieee.org
Accurate channel estimation is an important prerequisite to ensure the performance of
OFDM communication systems. Conventional pilot-based schemes such as Least Square …
OFDM communication systems. Conventional pilot-based schemes such as Least Square …
An Improved Channel Estimation Algorithm Based on WD‐DDA in OFDM System
D Wang, Z Mei, J Liang, J Liu - Mobile Information Systems, 2021 - Wiley Online Library
Channel estimation is the key technology to ensure reliable transmission in orthogonal
frequency division multiplexing (OFDM) system. In order to improve the accuracy of the …
frequency division multiplexing (OFDM) system. In order to improve the accuracy of the …
An Improved GOMP Sparse Channel Estimation for Vehicle‐to‐Vehicle Communications
X Chen, X Zhang, Y Zhu, R Ma - International Journal of …, 2023 - Wiley Online Library
Reliable channel estimation is critical for wireless communication performance, especially in
vehicle‐to‐vehicle (V2V) communication scenarios. Aiming at the major challenges of …
vehicle‐to‐vehicle (V2V) communication scenarios. Aiming at the major challenges of …