4 papers
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…
A Group-Wise Narrow Beam Design for Uplink Channel Estimation in Hybrid Beamforming Systems
Yufan Zhou, Yongbo Xiao, An Liu
In this paper, we consider uplink channel estimation for massive multi-input multi-output (MIMO) systems with partially connected hybrid beamforming (PC-HBF) structures. Existing b…
Scattering Environment Aware Joint Multi-user Channel Estimation and Localization with Spatially Reused Pilots
Kaiyuan Tian, Yani Chi, Yufan Zhou +1
The increasing number of users leads to an increase in pilot overhead, and the limited pilot resources make it challenging to support all users using orthogonal pilots. By fully ca…
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…