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Large Horizontal Near-Field Scanner Based on a Non-Tethered Unmanned Aerial Vehicle

Lorenzo Ciorba, Giuseppe Virone, Fabio Paonessa, Marco Righero, Eloy de Lera Acedo, Stefania Matteoli, Edgar Colín-Beltrán, Pietro Bolli, Giorgio Giordanengo, G. Vecchi, Alessio Magro, Riccardo Chiello, O. A. Peverini, Giuseppe Addamo

2022IEEE Open Journal of Antennas and Propagation28 citationsDOIOpen Access PDF

Abstract

A horizontal planar scanner with an approximate size of 40 m <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\times40$ </tex-math></inline-formula> m has been implemented using the Unmanned Aerial Vehicle (UAV) technology. The UAV is not wired to the ground to maintain the flexibility and short setup time of a non-tethered flight. In this configuration, the UAV-mounted continuous-wave source is not phase-locked to the on-the-ground receiver. A dual-polarized reference antenna placed on the ground is hence used to retrieve the relevant phase information. The presented approach has been applied on the Pre - Aperture Array Verification System (Pre -AAVS1) of the Square Kilometre Array, which is a digital beamformed array with 16 active elements. An inverse source technique has been applied on measured Near-Field (NF) data acquired on two different sets of points (one for each electric field component) from all the receiver channels. In this way, Embedded Element Patterns (EEPs), array calibration coefficients and pattern have been determined from NF data only. The achieved results have been validated using a complementary set of Far-Field (FF) measurements and simulations.

Topics & Concepts

ScannerComputer sciencePlanar arrayCalibrationAperture (computer memory)Sensor arrayAcousticsPhysicsArtificial intelligenceTelecommunicationsMachine learningQuantum mechanicsElectromagnetic Compatibility and MeasurementsRadio Astronomy Observations and TechnologyAntenna Design and Optimization
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