collaborators

9 papers

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

Beyond : Can Arbitrary EMVS Arrays Achieve Unambiguous NLOS Localization?

Hua Chen, Zhenhao Yu, Tuo Wu +5

Conventional radar array design mandates interelement spacing not exceeding half a wavelength () to avoid spatial ambiguity, fundamentally limiting array aperture and angular…

eess.SP2025

An Fluid Antenna Array-Enabled DOA Estimation Method: End-Fire Effect Suppression

Jiaji Ren, Ye Tian, Baiyang Liu +5

Direction of Arrival (DOA) estimation serves as a critical sensing technology poised to play a vital role in future intelligent and ubiquitous communication systems. Despite the de…

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…

eess.SP2025

Fluid Antenna Enabled Direction-of-Arrival Estimation Under Time-Constrained Mobility

He Xu, Tuo Wu, Ye Tian +8

Fluid antenna (FA) technology has emerged as a promising approach in wireless communications due to its capability of providing increased degrees of freedom (DoFs) and exceptional…

eess.SP2025

Target Localization with Coprime Multistatic MIMO Radar via Coupled Canonical Polyadic Decomposition Based on Joint Eigenvalue Decomposition

Guo-Zhao Liao, Xiao-Feng Gong, Wei Liu +1

This paper investigates target localization using a multistatic multiple-input multiple-output (MIMO) radar system with two distinct coprime array configurations: coprime L-shaped…