collaborators

8 papers

eess.SP2026

Scalable Fluid Antenna Systems: A New Paradigm for Array Signal Processing

Tuo Wu, Ye Tian, Jie Tang +8

Most existing antenna array-based source localization methods rely on fixed-position arrays (FPAs) and strict assumptions about source field conditions (near-field or far-field), w…

eess.SP2026

Sparse Fluid Antenna Arrays: Continuous Position Design Beyond Classical DOF Limits

Tuo Wu, Jie Tang, Ye Tian +3

Fluid antenna system (FAS), which continuously repositions a single physical element across a deployment region , breaks this limit by freeing antenna positions from the di…

eess.SP2026

Hybrid Architecture Gets Fluid: A New Paradigm for Direction-of-arrival Estimation in 6G Networks

Ye Tian, Jiaji Ren, Tuo Wu +5

High-precision direction-of-arrival (DOA) estimation, as a key sensing capability for 6G-enabled applications such as autonomous driving and extended reality, is increasingly depen…

eess.SP2026

DOA Estimation for Low-Altitude Networks: HAD Architectures, Methods, and Challenges

Ye Tian, Tuo Wu, Jintao Wu +4

With the rapid expansion of low-altitude economy (LAE) services and the growing demand for integrated sensing and communication (ISAC) in air-ground networks, reliable direction-of…

eess.SP2026

Fundamental Analysis of Scalable Fluid Antenna Systems: Identifiability Limits, Information Theory, and Joint Processing

Tuo Wu, Kai-Kit Wong, Jie Tang +8

Unlike fixed-position arrays with static observation entropy, the scalable fluid antenna system (S-FAS) can dynamically adjust its aperture to form different observation spaces wit…

eess.SP2025

The Future is Fluid: Revolutionizing DOA Estimation with Sparse Fluid Antennas

He Xu, Tuo Wu, Ye Tian +8

This paper investigates a design framework for sparse fluid antenna systems (FAS) enabling high-performance direction-of-arrival (DOA) estimation, particularly in challenging milli…