TY  - JOUR
T1  - Wireless Localization for UAVs Based on FM Radio Signals of Opportunity with RSS Power Weighting Model
AU  - Kim, Ki-Tae 
AU  - Shin, Yoan 
JO  - The Journal of Korean Institute of Communications and Information Sciences
PY  - 2025
DA  - 2025/1/1
DO  - 10.7840/kics.2025.50.3.452
KW  - signals of opportunity
KW  - FM radio
KW  - Direction finding
KW  - RSS
KW  - estimated power weighting modeling
KW  - AoA
KW  - Triangulation
KW  - Wireless localization
AB  - 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.