activity
20232025
most citedSuccessive Linear Approximation VBI for Joint Sparse Signal Recovery and Dynamic Grid Parameters Estimation

3 citations · 5 across the 8 of their papers we have counts for

collaborators

8 papers

eess.SP2025★ 1 cited

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…

eess.SP2025

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…

eess.SP2024

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…

eess.SP2024

Subspace Constrained Variational Bayesian Inference for Structured Compressive Sensing with a Dynamic Grid

An Liu, Yufan Zhou, Wenkang Xu

We investigate the problem of recovering a structured sparse signal from a linear observation model with an uncertain dynamic grid in the sensing matrix. The state-of-the-art expec…

eess.SP2024★ 1 cited

Joint Visibility Region Detection and Channel Estimation for XL-MIMO Systems via Alternating MAP

Wenkang Xu, An Liu, Min-jian Zhao

We investigate a joint visibility region (VR) detection and channel estimation problem in extremely large-scale multiple-input-multiple-output (XL-MIMO) systems, where near-field p…

eess.SP2023★ 3 cited

Successive Linear Approximation VBI for Joint Sparse Signal Recovery and Dynamic Grid Parameters Estimation

Wenkang Xu, An Liu, Bingpeng Zhou +1

For many practical applications in wireless communications, we need to recover a structured sparse signal from a linear observation model with dynamic grid parameters in the sensin…

eess.SP2023

Joint Scattering Environment Sensing and Channel Estimation for Integrated Sensing and Communication

Wenkang Xu, Yongbo Xiao, An Liu +1

This paper considers an integrated sensing and communication system, where some radar targets also serve as communication scatterers. A location domain channel modeling method is p…

eess.SP2023

Joint Scattering Environment Sensing and Channel Estimation Based on Non-stationary Markov Random Field

Wenkang Xu, Yongbo Xiao, An Liu +2

This paper considers an integrated sensing and communication system, where some radar targets also serve as communication scatterers. A location domain channel modeling method is p…