Title: Research on UWB-based cooperative relay positioning mechanism for firefighters

Authors: Gang Yang; Guodong Hou; Shiling Zhu; Weida Meng; Ningning Feng; Lifang Wang

Addresses: School of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an – 710121, China ' School of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an – 710121, China ' School of Modern Information Industry, Guangzhou College of Commerce, Guangdong – 511363, China ' School of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an – 710121, China ' School of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an – 710121, China ' School of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an – 710121, China

Abstract: When firefighters go deep into the fire for rescue, they may be in an area where the positioning system coverage is weak, resulting in inaccurate positioning. To solve this problem, a relay co-location mechanism based on ultra-wideband (UWB) is proposed. For priority targets that can communicate with three or more UWB base stations, a fusion location algorithm of the UWB/inertial navigation system is designed to eliminate non-line-of-sight errors of UWB ranging values and ensure accurate target positioning. The second and third priority targets that cannot communicate with a sufficient number of UWB base stations are grouped, and then a moving anchor selection algorithm based on distance is designed to select a certain number of positioning tags as moving anchor points and combine them with UWB base stations to form a new reference node. Experimental results show that the localisation accuracy of the proposed algorithm ranges from 12 to 18 cm.

Keywords: co-location mechanism; ultra-wideband; UWB; inertial navigation system; anchor selection; fusion location algorithm.

DOI: 10.1504/IJSNET.2024.139862

International Journal of Sensor Networks, 2024 Vol.45 No.3, pp.148 - 165

Received: 30 Dec 2023
Accepted: 26 Apr 2024
Published online: 08 Jul 2024 *

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