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Constrained Least-Squares Quadrilateral for Infrastructure-Free Relative Localization with Variational-GDOP Environment
ID：55 View Protection：ATTENDEE Updated Time：2025-11-10 11:28:58 Hits：149 Oral Presentation

Start Time：2025-11-23 10:50（Asia/Shanghai）

Duration：20min

Session：S1 Parallel Session 1 » S1-2Parallel Session 1-23 AM

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Abstract
Accurate indoor localization is vital for smart applications, but least-squares quadrilateral (LSQ) degrades under high geometric dilution of precision (GDOP). We propose a constrained least-squares quadrilateral (CLSQ) algorithm that introduces a range constraint from four distance measurements to enhance robustness. Simulations show CLSQ reduces localization error by about 24% compared with LST and maintains stability under varying geometries and noise, making it suitable for practical IoT scenarios.
Keywords
internet of things,Ultrawideband,least-square,range constraint
Speaker
Xuxing Zhao
Teacher Huaibei Normal University

Submission Author
Xuxing Zhao Huaibei Normal University
Jiawen Hu Huaibei Normal University
Zhenghao Guo Huaibei Normal University
Xinrui Fu Huaibei Normal University
Yu Liang Huaibei Normal University
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Important Date

  • Conference Date

    Nov 21

    2025

    to

    Nov 23

    2025

  • Oct 20 2025

    Draft paper submission deadline

  • Dec 08 2025

    Registration deadline

Sponsored By
IEEE Instrumentation and Measurement Society
South China University of Technology
Organized By
South China University of Technology
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