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

Volume

60

Issue

3

fYear

2012

fDate

3/1/2012 12:00:00 AM

Firstpage

1660

Lastpage

1665

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;

fLanguage

English

Journal_Title

Antennas and Propagation, IEEE Transactions on

Publisher

ieee

ISSN

0018-926X

Type

jour

DOI

10.1109/TAP.2011.2180322

Filename

6107551