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Please use this identifier to cite or link to this item: http://hdl.handle.net/10651/45594

Title: In situ antenna diagnostics and characterization system based on RFIDand Remotely Piloted Aircrafts
Author(s): Álvarez López, Yuri
García Fernández, María
Álvarez Narciandi, Guillermo
Arboleya Arboleya, Ana
Las Heras Andrés, Fernando Luis
García Cortés, Silverio
Fernández Cabanas, Manés
Keywords: Drones
Antenna measurement
Antenna diagnostics
Issue date: Jan-2018
Publisher: Elsevier
Publisher version: http://dx.doi.org/10.1016/j.sna.2017.11.010
Citation: Sensors and Actuators A: Physical, 269, p. 29-40 (2018); doi:10.1016/j.sna.2017.11.010
Format extent: p. 29–40
Abstract: A cost-effective solution for in situ antenna characterization and diagnostics based on Radio FrequencyIDentification technology and Remotely Piloted Aircrafts is presented. The cost-effectiveness of the pro-posed solution is achieved by replacing the radio frequency equipment on-board the small aircrafts withRadio Frequency IDentification tags, while the Antenna Under Test is connected to a Radio FrequencyIDentification reader, thus reducing the weight and complexity of the payload of the aircrafts dedicatedto antenna measurement task. Received Signal Strength measurements are geo-referred with centimeter-level accuracy thanks to a Real Time Kinematic system. An iterative phase retrieval technique based onthe Sources Reconstruction Method is used to recover an equivalent magnetic currents distribution onthe Antenna Under Test aperture plane. The reconstructed currents distribution provides antenna diag-nostics information and enables the calculation of the antenna radiation pattern. The presented methodhas been validated by means of measurements in the UHF band for two different antenna arrays withexcellent results
URI: http://hdl.handle.net/10651/45594
ISSN: 0924-4247
Sponsored: Ministerio de Economíay Competitividad – Gobierno de España under projects TEC 2014-54005-P (MIRIIEM), MINECO-15-TEC2014-55290-JIN (PORTEMVI-SION); under grants FPU15/06341 and FPU15/06431; and by the Gobierno del Principado de Asturias through the PCTI 2013-2017,FC-15-GRUPIN14-114. This work has been developed under theframework of the Universidad de Oviedo postdoctoral degree“Expert in Remotely Piloted and Autonomous Flight Aircrafts”
Project id.: MINECO/TEC 2014-54005-P
Principado de Asturias/PCTI 2013-2017
Principado de Asturias/FC-15-GRUPIN14-114
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Ingeniería Eléctrica, Electrónica, de Computadores y Sistemas
Investigaciones y Documentos OpenAIRE

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