Application of Near-Field to Far-Field Transformation to Doppler Features From Wind Turbine Scattering

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.

[1]  Gerhard Greving,et al.  On the relevance of the measured or calculated RCS for objects on the ground - case wind turbines , 2009, 2009 3rd European Conference on Antennas and Propagation.

[2]  I. J. LaHaie,et al.  Overview of an image-based technique for predicting far-field radar cross section from near-field measurements , 2003 .

[3]  Ali Khaleghi Measurement and Analysis of Ultra-Wideband Time Reversal for Indoor Propagation Channels , 2010, Wirel. Pers. Commun..

[4]  Hao Ling,et al.  Three-dimensional scattering center extraction using the shooting and bouncing ray technique , 1996 .

[5]  A. Yaghjian An overview of near-field antenna measurements , 1986 .

[6]  T. Eibert,et al.  Comparison and Application of Near-Field ISAR Imaging Techniques for Far-Field Radar Cross Section Determination , 2006, IEEE Transactions on Antennas and Propagation.

[7]  Hsueh-Jyh Li,et al.  Near-field imaging for conducting objects , 1991 .

[8]  Philippe Besnier,et al.  Efficiency Measurement of UWB Antennas Using Time Reversal in Reverberation Chamber. , 2008 .

[9]  A. Buterbaugh,et al.  Dynamic Radar Cross Section and Radar Doppler Measurements of Commercial General Electric Windmill Power Turbines Part 1: Predicted and Measured Radar Signatures , 2008, IEEE Antennas and Propagation Magazine.

[10]  P. Kildal,et al.  Study of distributions of modes and plane waves in reverberation chambers for the characterization of antennas in a multipath environment , 2001 .

[11]  Per-Simon Kildal,et al.  Correlation and capacity of MIMO systems and mutual coupling, radiation efficiency, and diversity gain of their antennas: simulations and measurements in a reverberation chamber , 2004, IEEE Communications Magazine.

[12]  Timothy D. Crum,et al.  A Way Forward; Wind Farm–Weather Radar Coexistence , 2009 .

[13]  Philippe Besnier,et al.  Time Reversal UWB Communication: Experimental Study for High Data Rates in Dense Multipath Propagation Channels , 2009, ICC 2009.

[14]  Ghaïs El Zein,et al.  Demonstration of Time-Reversal in Indoor Ultra-Wideband Communication: Time Domain Measurement , 2007, 2007 4th International Symposium on Wireless Communication Systems.

[15]  Maurizio Migliaccio,et al.  Reverberating chambers as sources of stochastic electromagnetic fields , 1996 .

[16]  H. Ling,et al.  Investigation of Doppler Features From Wind Turbine Scattering , 2010, IEEE Antennas and Wireless Propagation Letters.