Authors: Gaurav Duggal, R. Michael Buehrer, Harpreet S. Dhillon, Jeffrey H. Reed

Published on: May 09, 2024

Impact Score: 7.6

Arxiv code: Arxiv:2405.05801

Summary

• What is new: Utilization of a UAV-based wireless network and a novel NLOS path length model based on the Geometrical Theory of Diffraction (GTD) to improve indoor positioning accuracy in emergency situations.
• Why this is important: Enhancing 3D and Z-axis positioning accuracy in indoor emergencies and reducing reliance on fixed infrastructure that is vulnerable during emergencies.
• What the research proposes: A UAV-based wireless network that leverages GTD to develop a new NLOS path length model, enhancing indoor positioning performance for emergency responders and at-risk individuals.
• Results: The proposed UAV-based system and path length model significantly improve indoor positioning accuracy in emergency scenarios.

Technical Details

Technological frameworks used: Geometrical Theory of Diffraction (GTD)

Models used: Novel NLOS path length model

Data used: Signal propagation data from UAV-based surveys

Potential Impact

Public safety and emergency response markets, manufacturers of emergency response equipment, indoor navigation technology companies

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