Research on Indoor Positioning Algorithm Based on UWB Technology at Fire Scene

Authors

  • Chongyu Wang School of Aerospace Engineering, Xiamen University, No. 4221 Xiangan South Road, Xiamen, China
  • Xuhui Que Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, No. 4221 Xiangan South Road, Xiamen, China
  • Defa Kong Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, No. 4221 Xiangan South Road, Xiamen, China
  • Juan Liu Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, No. 4221 Xiangan South Road, Xiamen, China

DOI:

https://doi.org/10.31577/cai_2026_5_1183

Keywords:

UWB positioning, fire, fire rescue, positioning algorithm, nonlinear optimization

Abstract

Aiming at the positioning problem of dynamically deployed temperature and smoke sensors in intelligent fire protection systems, an ultra-wideband (UWB) positioning method was applied. This led to the design of a dynamically deployed sensor that integrates temperature and smoke sensing, positioning, and wireless communication functions. The adaptive obstacle compensation trilateral measurement algorithm and nonlinear least squares compensation were used to achieve accurate positioning in harsh fire environments. Experiments show that in complex indoor environments, when the number of partition walls on a single coordinate axis does not exceed 3, the positioning error can be within 3 cm. The sensor can also obtain the on-site temperature and smoke distribution in real time.

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Published

2026-10-31

How to Cite

Wang, C., Que, X., Kong, D., & Liu, J. (2026). Research on Indoor Positioning Algorithm Based on UWB Technology at Fire Scene. Computing and Informatics, 45(5), 1183–1207. https://doi.org/10.31577/cai_2026_5_1183

Issue

Vol. 45 No. 5 (2026): Computing and Informatics

Section

Articles