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A joint range–angle–velocity estimation algorithm for FDA-MIMO radar based on graph signal processing
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  • Published: 22 January 2026

A joint range–angle–velocity estimation algorithm for FDA-MIMO radar based on graph signal processing

  • Qinlin Li1,2,3,
  • Ao Meng1,
  • Kefei Liao1,2,3,
  • Ningbo Xie1,2,3,
  • Xianglai Liao1,2,3,
  • Hanbo Chen1,2,3 &
  • …
  • Kamarul Hawari Bin Ghazali4 

Scientific Reports , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Engineering
  • Mathematics and computing

Abstract

In this paper, a novel Frequency Diverse Array–Multiple Input Multiple Output (FDA-MIMO) radar parameter estimation algorithm based on Graph Signal Processing (GSP) is proposed for joint range–angle–velocity estimation. By modeling the FDA-MIMO radar echoes as graph signals and constructing an adjacency matrix that captures the spatial correlations among array elements, the proposed method performs Graph Fourier Transform (GFT) analysis to extract the spectral characteristics of the target signal. The target parameters are then obtained by searching for the spectral peak responses corresponding to the unit eigenvalue of the graph adjacency matrix. The proposed GSP-based FDA-MIMO radar framework provides an efficient and high-precision solution for multi-target parameter estimation, with strong potential for real-time and complex-environment applications.

Data availability

The simulation dataset used in this study was established by the School of Information and Communication, Guilin University of Electronic Technology, but restrictions apply to the availability of these data, which were used under licence for the current study and so are not publicly available. The data are, however, available upon request and with the permission of the School of Information and Communication, Guilin University of Electronic Technology. All data used in this paper can be obtained by contacting the authors of this study. For data access requests, please contact Ao Meng at 24022201076@mails.guet.edu.cn or the corresponding author.

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Funding

This work was Supported by Guangxi science and technology department project (Guike AB24010281, Guike AB23075161), Guangxi University Young and Middle-aged Teachers’ Basic Scientific Research Ability Improvement Project (2025KY0259) and the Joint International Research Laboratory of Spatio-temporal Information and Intelligent Location Services (C25GAH27).

Author information

Authors and Affiliations

  1. School of Information and Communication, Guilin University of Electronic Technology Guilin, Guilin, 541004, Guangxi, China

    Qinlin Li, Ao Meng, Kefei Liao, Ningbo Xie, Xianglai Liao & Hanbo Chen

  2. Joint International Research Laboratory of Spatio-temporal Information and Intelligent Location Services, Guilin University of Electronic Technology, Guilin, 541004, Guangxi, China

    Qinlin Li, Kefei Liao, Ningbo Xie, Xianglai Liao & Hanbo Chen

  3. Guangxi Intelligent Electromagnetic Spectrum Perception and Control Technology Engineering Research Center, Guilin, 541004, Guangxi, China

    Qinlin Li, Kefei Liao, Ningbo Xie, Xianglai Liao & Hanbo Chen

  4. Center for Advanced Industrial Technology, Universiti Malaysia Pahang Al Sultan Abdullah, pekan, Malaysia

    Kamarul Hawari Bin Ghazali

Authors
  1. Qinlin Li
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  2. Ao Meng
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  3. Kefei Liao
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  4. Ningbo Xie
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  5. Xianglai Liao
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  6. Hanbo Chen
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  7. Kamarul Hawari Bin Ghazali
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Contributions

Q.L. , A.M. and K.L. provided the theoretical support for the paper, A.M. and K.L. wrote the main manuscript text, and N.X., X.L., H.C., and K.G. prepared the figures in the manuscript. All authors reviewed the manuscript.

Corresponding author

Correspondence to Kefei Liao.

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Li, Q., Meng, A., Liao, K. et al. A joint range–angle–velocity estimation algorithm for FDA-MIMO radar based on graph signal processing. Sci Rep (2026). https://doi.org/10.1038/s41598-026-36124-x

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  • Received: 03 November 2025

  • Accepted: 09 January 2026

  • Published: 22 January 2026

  • DOI: https://doi.org/10.1038/s41598-026-36124-x

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Keywords

  • Graph signal processing
  • Frequency diverse array
  • Graph Fourier transform
  • Joint range–angle–velocity estimation
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