@article{M5CAE325B,
title = "Wireless Localization for UAVs Based on FM Radio Signals of Opportunity with RSS Power Weighting Model",
journal = "The Journal of Korean Institute of Communications and Information Sciences",
year = "2025",
issn = "1226-4717",
doi = "10.7840/kics.2025.50.3.452",
author = "Ki-Tae Kim, Yoan Shin",
keywords = "signals of opportunity, FM radio, Direction finding, RSS, estimated power weighting modeling, AoA, Triangulation, Wireless localization",
abstract = "In this paper, we consider wireless localization of an unmanned aerial vehicle (UAV). We use a directional antenna to estimate the maximum received power of frequency modulatuon (FM) radio signals, which are considered as a type of signals of opportunity, to perform direction finding and determine the location of FM transmitters. After that, we apply an angle of arrival (AoA)-based triangulation method. Furthermore, we propose a received signal strength (RSS) estimated power weighting model to refine the final UAV location estimation, leading to the proposed RSS estimated power-weighted triangulation approach. Performance of the proposed method is verified through simulations in various channel noise environments."
}