Aláez Gómez, Daniel

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https://academica-e.unavarra.es/handle/2454/48466

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Aláez Gómez

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Daniel

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Estadística, Informática y Matemáticas

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ISC. Institute of Smart Cities

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0000-0002-5346-2562

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1173050

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812347

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Author: Celaya Echarri, Mikel × Subject: UAV ×

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    PublicationOpen Access
    UAVradio: Radio link path loss estimation for UAVs
    (Elsevier, 2024) Aláez Gómez, Daniel; Celaya Echarri, Mikel; Azpilicueta Fernández de las Heras, Leyre; Villadangos Alonso, Jesús; Estadística, Informática y Matemáticas; Ingeniería Eléctrica, Electrónica y de Comunicación; Institute of Smart Cities - ISC; Estatistika, Informatika eta Matematika; Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren
    The UAVRadio Python module is a comprehensive toolkit designed to facilitate the analysis and prediction of radio signal path loss in Unmanned Aerial Vehicle (UAV) communication scenarios. The module encompasses a range of path loss models referenced from established literature, offering users a powerful and flexible framework for estimating signal attenuation in different UAV communication links. It is a versatile and modular tool that enables simple integration for optimizing UAV communication systems and ensuring reliable wireless connectivity in a variety of operational scenarios. The utility of this package is demonstrated through two relevant examples: an experimentally fit model comparison with other implemented models, and a UAV digital twin implementation example comparing different available models and frequencies. The examples are provided in the code repository along with comprehensive documentation.