3D Positioning using a New Diffraction Path Model
arxiv(2024)
摘要
Enhancing 3D and Z-axis positioning accuracy is crucial for effective rescue
in indoor emergencies, ensuring safety for emergency responders and at-risk
individuals. Additionally, reducing the dependence of a positioning system on
fixed infrastructure is crucial, given its vulnerability to power failures and
damage during emergencies. Further challenges from a signal propagation
perspective include poor indoor signal coverage, multipath effects and the
problem of Non-Line-OfSight (NLOS) measurement bias. In this study, we utilize
the mobility provided by a rapidly deployable Uncrewed Aerial Vehicle (UAV)
based wireless network to address these challenges. We recognize diffraction
from window edges as a crucial signal propagation mechanism and employ the
Geometrical Theory of Diffraction (GTD) to introduce a novel NLOS path length
model. Using this path length model, we propose two different techniques to
improve the indoor positioning performance for emergency scenarios.
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