Title :
Application of Near-Field to Far-Field Transformation to Doppler Features From Wind Turbine Scattering
Author :
Whitelonis, Nick ; Yang, Shang-Te ; Ling, Hao
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
fDate :
3/1/2012 12:00:00 AM
Abstract :
The near-field to far-field transformation (NFFFT) algorithm from Mensa and Vaccaro is applied to obtain the far-field Doppler signatures of wind turbines based on near-field measurement data. A set of angular window and sampling criteria are derived to aid in the data collection and processing. Simulations are performed to demonstrate the effectiveness of the NFFFT and sampling criteria. Near-field measurements are made of a three-arm wire turbine model and a small commercial turbine. The NFFFT is applied to recover the far-field backscattering. The NFFFT is shown to effectively correct the Doppler features from the wind turbine scattering. The measurement results are corroborated with near-field and far-field simulations.
Keywords :
backscatter; electromagnetic wave scattering; military radar; wind turbines; Doppler features; NFFFT algorithm; angular window; data collection; data processing; far-field Doppler signatures; far-field backscattering; near-field measurement data; near-field-to-far-field transformation; sampling criteria; three-arm wire turbine model; wind turbine scattering; Backscatter; Blades; Doppler effect; Spectrogram; Wind turbines; Wires; Doppler effect; near field-to-far field transformations; near-field measurements; wind turbine;
Journal_Title :
Antennas and Propagation, IEEE Transactions on
DOI :
10.1109/TAP.2011.2180322
