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Measurements and Modelling of Radar Signatures of Large Wind Turbine Using Multiple Sensors

Al-Mashhadani, W; Brown, A; Danoon, L; Horne, C; Palama, R; Griffiths, H; Patel, J; (2018) Measurements and Modelling of Radar Signatures of Large Wind Turbine Using Multiple Sensors. In: 2018 IEEE Radar Conference (RadarConf18). (pp. pp. 1389-1394). IEEE Green open access

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Abstract

This paper presents initial results on the characterization of radar signatures of wind turbines, in particular larger wind turbines (capacity over 7 MW) used for offshore wind farms. Experimental results from simultaneous data collected using a passive DVB-T (Digital Video Broadcasting-Terrestrial) radar sensor and an active radar working at S-band are presented, as well as some comments on the parallel work on the modelling of the turbine and on the development of detection algorithms specific for this type of clutter. The initial results show significant variability of the signatures for different radar sensors used, but also for different parameters (e.g. polarization) for the same radar sensor and operational conditions of the turbine (rotation speed, yaw angle).

Type: Proceedings paper
Title: Measurements and Modelling of Radar Signatures of Large Wind Turbine Using Multiple Sensors
Event: IEEE Radar Conference, 23-27 April 2018, Oklahoma City, Oklahoma, USA
Location: Oklahoma City, OK
Dates: 23 April 2018 - 27 April 2018
ISBN-13: 978-1-5386-4167-5
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/RADAR.2018.8378767
Publisher version: https://doi.org/10.1109/RADAR.2018.8378767
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Wind Farm Clutter, EM Modelling, Radar Signatures, Multistatic Radar, Passive Radar, Wind turbines, Radar cross-sections, Blades, Poles and towers, Sensors
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10058928
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