Joint approximately sparse channel estimation and data detection in OFDM systems using sparse Bayesian learning

R Prasad, CR Murthy, BD Rao - IEEE Transactions on Signal …, 2014 - ieeexplore.ieee.org
It is well known that the impulse response of a wideband wireless channel is approximately
sparse, in the sense that it has a small number of significant components relative to the …

Spatio-temporal representation with deep neural recurrent network in MIMO CSI feedback

X Li, H Wu - IEEE Wireless Communications Letters, 2020 - ieeexplore.ieee.org
In multiple-input multiple-output (MIMO) systems, it is crucial of utilizing the available
channel state information (CSI) at the transmitter for precoding to improve the performance …

Channel estimation for reconfigurable intelligent surface assisted wireless communication systems in mobility scenarios

Z Mao, M Peng, X Liu - China Communications, 2021 - ieeexplore.ieee.org
Reconfigurable intelligent surface (RIS) can manipulate the wireless propagation
environment by smartly adjusting the amplitude/phase in a programmable panel, enjoying …

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 …

JTS: Tools for implementing domain-specific languages

D Batory, B Lofaso… - … Conference on Software …, 1998 - ieeexplore.ieee.org
The Jakarta Tool Suite (JTS) aims to reduce substantially the cost of generator development
by providing domain-independent tools for creating domain-specific languages and …

Sparse doubly-selective channel estimation techniques for OSTBC MIMO-OFDM systems: A hierarchical Bayesian Kalman filter based approach

S Srivastava, MS Kumar, A Mishra… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Hierarchical Bayesian Kalman filter (HBKF) based schemes are conceived for doubly-
selective sparse channel estimation in orthogonal space-time block coded (OSTBC) multiple …

A model reduction approach for OFDM channel estimation under high mobility conditions

TY Al-Naffouri, KMZ Islam… - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
Orthogonal frequency-division multiplexing (OFDM) combines the advantages of high
performance and relatively low implementation complexity. However, for reliable coherent …

Modeling the heterogeneous duration of user interest in time-dependent recommendation: A hidden semi-Markov approach

H Zhang, W Ni, X Li, Y Yang - IEEE Transactions on Systems …, 2016 - ieeexplore.ieee.org
Recommender systems are widely used for suggesting books, education materials, and
products to users by exploring their behaviors. In reality, users' preferences often change …

Improved recursive electromechanical oscillations monitoring scheme: A novel distributed approach

HM Khalid, JCH Peng - IEEE Transactions on Power Systems, 2014 - ieeexplore.ieee.org
This paper improves the existing Kalman-based technique for detecting electromechanical
oscillations using Synchrophasor measurements. The novelty is the utilization of a …

On the use of first-order autoregressive modeling for Rayleigh flat fading channel estimation with Kalman filter

S Ghandour-Haidar, L Ros, JM Brossier - Signal Processing, 2012 - Elsevier
This letter deals with the estimation of a flat fading Rayleigh channel with Jakes's spectrum.
The channel is approximated by a first-order autoregressive (AR (1)) model and tracked by a …