6 papers
Message Passing Based Two-Timescale Bayesian Learning for Joint Channel and Memory Hardware Impairments Tracking
Wei Xu, An Liu
Hardware impairments in massive multiple-input multiple-output (MIMO) receivers introduce inter-symbol memory and inter-element coupling, severely degrading channel estimation. Thi…
Robust Beamforming for Multiuser MIMO Systems with Unknown Channel Statistics: A Hybrid Offline-Online Framework
Wenzhuo Zou, Ming-Min Zhao, An Liu +1
Robust beamforming design under imperfect channel state information (CSI) is a fundamental challenge in multiuser multiple-input multiple-output (MU-MIMO) systems, particularly whe…
Cross-Sparsity-Enabled Multipath Perception via Structured Bayesian Inference for Multi-Target Estimation
Xiang Chen, Ming-Min Zhao, An Liu +3
In this paper, we investigate a multi-target sensing system in multipath environment, where inter-target scattering gives rise to first-order reflected paths whose angles of depart…
Robust Super-Resolution Compressive Sensing: A Two-timescale Alternating MAP Approach
Yufan Zhou, Jingyi Li, Wenkang Xu +1
The problem of super-resolution compressive sensing (SR-CS) is crucial for various wireless sensing and communication applications. Existing methods often suffer from limited resol…
Exploiting Dynamic Sparsity for Near-Field Spatial Non-Stationary XL-MIMO Channel Tracking
Wenkang Xu, An Liu, Min-jian Zhao +2
This work considers a spatial non-stationary channel tracking problem in broadband extremely large-scale multiple-input-multiple-output (XL-MIMO) systems. In the case of spatial no…
Bilinear Subspace Variational Bayesian Inference for Joint Scattering Environment Sensing and Data Recovery in ISAC Systems
An Liu, Wenkang Xu, Wei Xu +1
This paper considers a joint scattering environment sensing and data recovery problem in an uplink integrated sensing and communication (ISAC) system. To facilitate joint scatterer…