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

  • He Xu
  • , Tuo Wu*
  • , Ye Tian
  • , Ming Jin
  • , Wei Liu
  • , Qinghua Guo
  • , Maged Elkashlan
  • , Matthew C. Valenti
  • , Chan-Byoung Chae
  • , Kin-Fai Tong
  • , Kai-Kit Wong*
  • *Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Abstract

This paper investigates a design framework for sparse fluid antenna systems (FAS) enabling high-performance direction-of-arrival (DOA) estimation, particularly in challenging millimeter-wave (mmWave) environments. By ingeniously harnessing the mobility of fluid antenna (FA) elements, the proposed architectures achieve an extended range of spatial degrees of freedom (DoFs) compared to conventional fixed-position antenna (FPA) arrays. This innovation not only facilitates the seamless application of super-resolution DOA estimators but also enables robust DOA estimation, accurately localizing more sources than the number of physical antenna elements. We introduce two bespoke FA array structures and mobility strategies tailored to scenarios with aligned and misaligned received signals, respectively, demonstrating a hardware-driven approach to overcoming complexities typically addressed by intricate algorithms. A key contribution is a light-of-sight (LoS)-centric, closed-form DOA estimator, which first employs an eigenvalue-ratio test for precise LoS path number detection, followed by a polynomial root-finding procedure. This method distinctly showcases the unique advantages of FAS by simplifying the estimation process while enhancing accuracy. Numerical results compellingly verify that the proposed FA array designs and estimation techniques yield an extended DoFs range, deliver superior DOA accuracy, and maintain robustness across diverse signal conditions. © 2026 IEEE.
Original languageEnglish
Pages (from-to)11546-11561
JournalIEEE Transactions on Wireless Communications
Volume25
Online published10 Feb 2026
DOIs
Publication statusPublished - 2026

Funding

This work was supported in part by Zhejiang Provincial Natural Science Foundation of China under Grant LQN26F010011, in part by the Natural Science Foundation of China under Grant 62571286, in part by the Natural Science Foundation of Ningbo Municipality under Grant 2024J232, and in part by The Hong Kong Polytechnic University Start-Up Fund under Project P0053642. The work of Tuo Wu was supported by Hong Kong Research Grants Council under the Area of Excellence Scheme under Grant AoE/E-101/23-N. The work of Kin-Fai Tong was supported by The Hong Kong Metropolitan University, Staff Research Startup Fund, under Grant FRSF/2024/03. The work of Kai-Kit Wong was supported by the Engineering and Physical Sciences Research Council (EPSRC) under Grant EP/W026813/1.

Research Keywords

  • aligned received signals
  • direction-of-arrival (DOA) estimation
  • misaligned received signals
  • polynomial root finding
  • Sparse fluid antennas (FA) array

RGC Funding Information

  • RGC-funded

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  • AoE(UGC): Advanced Antenna Technology for a Smart World

    LUK, K. M. (Principal Investigator / Project Coordinator), CHAN, C. H. (Co-Principal Investigator), GAO, S. (Co-Principal Investigator), LEUNG, K. W. (Co-Principal Investigator), LIN, W. (Co-Principal Investigator), LU, J. (Co-Principal Investigator), LUCYSZYN, S. (Co-Principal Investigator), Pang, S. (Co-Principal Investigator), TONG, K. F. K. (Co-Principal Investigator), WONG, H. (Co-Principal Investigator), WONG, M. H. A. (Co-Principal Investigator), ZHENG, S. (Co-Principal Investigator), LAU, V. K. N. (Co-Investigator), WANG, H. (Co-Investigator) & WONG, K.-K. (Co-Investigator)

    1/01/24 → …

    Project: Research

  • AoE(UGC)-Sub-pj: Advanced Antenna Technology for a Smart World

    LU, J. (Principal Investigator / Project Coordinator)

    1/01/24 → …

    Project: Research

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