This paper considers the challenge of localizing ground users with the help of a radio-equipped unmanned aerial vehicle (UAV) that collects measurements from users. We utilize time-of-arrival (ToA) measurements estimated from the radio signals received from users collected by a UAV at different locations. Since the UAV's location might not be perfectly known, the problem becomes about simultaneously localizing the users and tracking the UAV's position. To solve this problem, we employed a least-squares simultaneous localization and mapping (SLAM) framework to fuse ToA data and the estimate of UAV location available from global positioning system (GPS). We verified the performance of the developed algorithm through real-world experimentation.
@article{arxiv.2503.19529,
title = {First Results on UAV-aided User Localization Using ToA and OpenAirInterface in 5G NR},
author = {Omid Esrafilian and Rakesh Mundlamuri and Florian Kaltenberger and Raymond Knopp and David Gesbert},
journal= {arXiv preprint arXiv:2503.19529},
year = {2025}
}