Federated Consensus-Based Algorithm for Stable Recovery of Sparse Signals
R Qian, Y Qi, Y Xue, T Zhou… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this article, we develop a new algorithm, named federated consensus-based algorithm
(FCB), for sparse recovery, and show its performance in terms of both support recovery and …
(FCB), for sparse recovery, and show its performance in terms of both support recovery and …
Markov chain-based frequency correlation processing algorithm for wideband DOA estimation
J Zhang, M Bao, Z Chen, J Zhao, H Hou, J Yang - Signal Processing, 2023 - Elsevier
For wideband direction-of-arrival (DOA) estimation, a Markov Chain-based frequency
correlation processing algorithm is proposed in the sparse Bayesian learning (SBL) …
correlation processing algorithm is proposed in the sparse Bayesian learning (SBL) …
MIMO-aided nonlinear hybrid transceiver design for multiuser mmwave systems relying on tomlinson-harashima precoding
Hybrid analog-digital (A/D) transceivers designed for millimeter wave (mmWave) systems
have received substantial research attention, as a benefit of their lower cost and modest …
have received substantial research attention, as a benefit of their lower cost and modest …
Hybrid message passing algorithm for downlink FDD massive MIMO-OFDM channel estimation
The design of message passing (MP) algorithms on factor graphs is an effective manner to
implement channel estimation (CE) in wireless communication systems, which performance …
implement channel estimation (CE) in wireless communication systems, which performance …
Structured hybrid message passing based channel estimation for massive MIMO-OFDM systems
This paper investigates uplink channel estimation for massive multi-input multi-output
orthogonal frequency division multiplexing (MIMO-OFDM) systems with uniform planar array …
orthogonal frequency division multiplexing (MIMO-OFDM) systems with uniform planar array …
3D on and off-grid dynamic channel tracking for multiple UAVs and satellite communications
The space-air-ground integrated network (SAGIN) has drawn increasing attention for its
benefits, such as wide coverage, high throughput for 5G and 6G communications. As one of …
benefits, such as wide coverage, high throughput for 5G and 6G communications. As one of …
Channel Sparsity Variation and Model-Based Analysis on 6, 26, and 105 GHz Measurements
Triggered by the introduction of higher frequencies (above 24 GHz), there has been a long-
standing debate in the radio propagation community on whether higher frequency radio …
standing debate in the radio propagation community on whether higher frequency radio …
Variance state propagation for structured sparse Bayesian learning
We propose a compressed sensing algorithm termed variance state propagation (VSP) for
block-sparse signals, ie, sparse signals that have nonzero coefficients occurring in clusters …
block-sparse signals, ie, sparse signals that have nonzero coefficients occurring in clusters …
Joint estimation of channel and I/Q imbalance in massive MIMO: A two-timescale optimization approach
Although there has been a wide investigation on channel estimation in frequency-division
duplex (FDD) massive multiple-input-multiple-output (MIMO) systems, the effect of imperfect …
duplex (FDD) massive multiple-input-multiple-output (MIMO) systems, the effect of imperfect …
Ultrasonic-Aided Fast-Layered Alternating Iterative Tensor Channel Estimation for V2X Millimeter-Wave Massive MIMO Systems
X Zhou, Z Ma, J Li, L Yu - Electronics, 2022 - mdpi.com
Millimeter-wave massive multiple-input multiple-output (MIMO) vehicle-to-everything (V2X)
communications can support enhanced V2X applications for connected and automated …
communications can support enhanced V2X applications for connected and automated …