Joint multi-domain channel estimation based on sparse Bayesian learning for OTFS system
Y Liao, X Li - China Communications, 2023 - ieeexplore.ieee.org
Since orthogonal time-frequency space (OTFS) can effectively handle the problems caused
by Doppler effect in high-mobility environment, it has gradually become a promising …
by Doppler effect in high-mobility environment, it has gradually become a promising …
An OTFS channel estimation scheme based on efficient sparse Bayesian learning
K Shu, X He, L Shi, N Chen - 2022 IEEE/CIC International …, 2022 - ieeexplore.ieee.org
Orthogonal time frequency space (OTFS) modulation is a delay-Doppler (DD) domain
modulation scheme that can adapt to the fast time-varying channels. Since OTFS is a two …
modulation scheme that can adapt to the fast time-varying channels. Since OTFS is a two …
Sparse Bayesian learning of delay-Doppler channel for OTFS system
L Zhao, WJ Gao, W Guo - IEEE communications letters, 2020 - ieeexplore.ieee.org
Orthogonal time frequency space (OTFS) modulation has superior performance than
traditional orthogonal frequency division multiplexing (OFDM) in fast time-varying scenarios …
traditional orthogonal frequency division multiplexing (OFDM) in fast time-varying scenarios …
UAMP-based channel estimation for OTFS in the presence of the fractional doppler with HMM prior
Z Li, W Yuan, L Zhou - 2022 IEEE/CIC International Conference …, 2022 - ieeexplore.ieee.org
Orthogonal time frequency space (OTFS) modulation is a promising candidate to support
reliable information transmission in high-mobility wireless communications. In this paper, we …
reliable information transmission in high-mobility wireless communications. In this paper, we …
Block sparse Bayesian learning-based channel estimation for MIMO-OTFS systems
L Zhao, J Yang, Y Liu, W Guo - IEEE communications Letters, 2022 - ieeexplore.ieee.org
In this letter, we propose an efficient channel estimation method for multiple input multiple
output orthogonal time-frequency-space systems in which each delay path cluster of the …
output orthogonal time-frequency-space systems in which each delay path cluster of the …
2D off-grid decomposition and SBL combination for OTFS channel estimation
Orthogonal time-frequency space (OTFS) is a promising technique for high mobility wireless
communications, as it approaches a sparse representation of doubly-selective fading …
communications, as it approaches a sparse representation of doubly-selective fading …
Sparse Bayesian learning based channel estimation in FBMC/OQAM industrial IoT networks
The next generation of communication technology is accelerating the transformation of
industrial internet of things (IIoT). Filter bank multicarrier with offset quadrature amplitude …
industrial internet of things (IIoT). Filter bank multicarrier with offset quadrature amplitude …
Deep learning with a self-adaptive threshold for OTFS channel estimation
The recently developed orthogonal time frequency space (OTFS) technology has proved its
capability to cope with the fast time-varying channels in high-mobility scenarios. In particular …
capability to cope with the fast time-varying channels in high-mobility scenarios. In particular …
A new off-grid channel estimation method with sparse Bayesian learning for OTFS systems
This paper proposes an off-grid channel estimation scheme for orthogonal time-frequency
space (OTFS) systems adopting the sparse Bayesian learning (SBL) framework. To avoid …
space (OTFS) systems adopting the sparse Bayesian learning (SBL) framework. To avoid …
Sparse channel estimation algorithms for OTFS system
R Ouchikh, A Aïssa‐El‐Bey, T Chonavel… - IET …, 2022 - Wiley Online Library
Orthogonal time‐frequency space (OTFS) modulation, which has recently been proposed in
the literature, is one of the promising techniques designed in the 2D Delay‐Doppler domain …
the literature, is one of the promising techniques designed in the 2D Delay‐Doppler domain …