Practical investigation of multiband mono‐ and bistatic radar signatures of wind turbines. Issue 6 (5th May 2017)

• Record Type: Journal Article
• Authors: Fioranelli, Francesco; Ritchie, Matthew; Balleri, Alessio; Griffiths, Hugh
• Is Part Of: IET radar, sonar & navigation. Volume 11:Issue 6(2017)
• Page Start: 909
• Page End: 921
• Publication Date: 2017-05-05
• Subjects: wind turbines -- wind power plants -- radar cross‐sections -- time‐domain analysis -- Doppler radar -- search radar -- radar receivers; multiband bistatic radar signature -- monostatic radar signature -- wind turbine -- negative effect wind farm clutter -- air traffic control -- air surveillance -- radar receiver -- S‐band -- X‐band -- UK -- Oxford -- parameter extraction -- time domain data -- Doppler spectra -- Doppler centroid -- microDoppler signature -- amplitude statistics -- polarisation combination; Signal processing -- Periodicals; Radar -- Periodicals; Sonar -- Periodicals; Electronics in navigation -- Periodicals; Navigation -- Periodicals; 621.3848
• DOI: 10.1049/iet-rsn.2016.0503
• Languages: English
• ISSNs: 1751-8784

Abstract

Abstract : The negative effects wind farm clutter has on the performance of radar systems for air traffic control and air surveillance is well known in the radar research community and several mitigation techniques have been proposed to address this problem. These include bi‐ and multistatic radar systems providing multiple views of the area under surveillance, and hence potential additional information that can be used to improve the receiver performance. This study presents the analysis of a set of experimental data collected simultaneously by two radar systems, one operating at S‐band and one at X‐band, of echoes from an operational wind farm in the UK near Oxford. This analysis presents several parameters extracted from the time domain data and the Doppler spectra, such as Doppler centroid and bandwidth of the micro‐Doppler signature as well as amplitude statistics of the time domain returns. These parameters are characterised using data recorded at mono‐ and bistatic nodes, as well as at different polarisation combinations.