Wireless Localization for UAVs Based on FM Radio Signals of Opportunity with RSS Power Weighting Model 


Vol. 50,  No. 3, pp. 452-455, Mar.  2025
10.7840/kics.2025.50.3.452


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  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.

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[IEEE Style]

K. Kim and Y. Shin, "Wireless Localization for UAVs Based on FM Radio Signals of Opportunity with RSS Power Weighting Model," The Journal of Korean Institute of Communications and Information Sciences, vol. 50, no. 3, pp. 452-455, 2025. DOI: 10.7840/kics.2025.50.3.452.

[ACM Style]

Ki-Tae Kim and Yoan Shin. 2025. Wireless Localization for UAVs Based on FM Radio Signals of Opportunity with RSS Power Weighting Model. The Journal of Korean Institute of Communications and Information Sciences, 50, 3, (2025), 452-455. DOI: 10.7840/kics.2025.50.3.452.

[KICS Style]

Ki-Tae Kim and Yoan Shin, "Wireless Localization for UAVs Based on FM Radio Signals of Opportunity with RSS Power Weighting Model," The Journal of Korean Institute of Communications and Information Sciences, vol. 50, no. 3, pp. 452-455, 3. 2025. (https://doi.org/10.7840/kics.2025.50.3.452)
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pISSN : 1226 - 4717
eISSN : 2287 - 3880