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General Electromagnetic Simulation of Radar Signals Backscattered from Metallic Wind Turbines

By Victoria Sgardoni and Nikolaos Uzunoglu
Progress In Electromagnetics Research B, Vol. 100, 91-107, 2023


The backscattering of electromagnetic waves incident on a rotating metallic wind turbine (WT) is analyzed by using the Physical Optics method. The model developed is general and allows the computation of the spectral Doppler shift of the backscattered waves. All the parameters involved are taken into account, relative to incident wave direction, wind horizontal direction, WT geometric and electromagnetic properties. Numerical computations are carried out for various cases and presented relative to a search radar.


Victoria Sgardoni and Nikolaos Uzunoglu, "General Electromagnetic Simulation of Radar Signals Backscattered from Metallic Wind Turbines," Progress In Electromagnetics Research B, Vol. 100, 91-107, 2023.


    1. Leonov, S., O. Hubbard, Z. Ding, H. Ghadaki, J. Wang, and T. Ponsford, "Advanced mitigating techniques to remove the effects of wind turbines and wind farms on primary surveillance radars," IEEE 2008 Radar Conference, Rome, doi:10.1109/RADAR.2008.4721114, Jun. 2008.

    2. US Department of the Interior Bureau of Ocean Energy Management Office of Renewable Energy Programs, "Radar interference analysis for renewable energy facilities on the atlantic outer continental shelf,", OCS Study BOEM 2020-039, Aug. 2020.

    3. De La Vega, D., J. Matthews, L. Norin, and I. Angulo, "Mitigation techniques to reduce the impact of wind turbines on radar services," MDPI, Energies (Special issue Wind Turbines), Vol. 6, No. 6, 2859-2873, doi: 10.3390/en6062859, Jun. 2013.

    4. Wang, W.-Q., "Detecting and mitigating wind turbine clutter for airspace radar systems," Hindawi, The Scienti c World Journal, Vol. 2013, No. Article ID 385182, 2013.

    5. Bachmann, S., M. Lockheed, Y. Al-Rashid, P. Bronecke, R. Palmer, and B. Isom, "Suppression of the wind farm contribution from the atmospheric radar returns," 26th Conference on Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology, Jan. 2010.

    6. Office of the Director of Defense Research and Engineering, "The effect of windmill farms on military readiness,", 2006 Report to the Congressional Defense Committees, Washington DC, 20301, 2006.

    7. Cuong, T., "Radar cross section (RCS) simulation for wind turbines,", Naval Postgraduate School, Monterey, California, http://hdl.handle.net/10945/34754, 2013-06.

    8. Shen, M., X. Wang, D. Wu, and D. Zhu, "Wind turbine clutter mitigation for weather radar by an improved low-rank matrix recovery method," Progress In Electromagnetics Research M, Vol. 88, 191-199, doi:10.2528/PIERM19103101, 2020.

    9. Hegler, S. and D. Plettemeier, "Simulative investigation of the radar cross section of wind turbines," MDPI, Applied Sciences, Vol. 9, No. 19, 4024, Sep. 2019, doi: 10.3390/app9194024.

    10. Lainer, M., J. Figueras, I Ventura, Z. Schauwecker, M. Gabella, M. F.-Bolanos, R. Pauli, and J. Grazioli, "Insights into wind turbine re ectivity and radar cross-section (RCS) and their variability using X-band weather radar observations," Atmos. Meas. Tech. (AMT), Vol. 14, 3541-3560, https://doi.org/10.5194/amt-14-3541-2021, 2021.

    11. Kent, B. M., K. C. Hil, A. Buterbaugh, G. Zelinski, R. Hawley, L. Cravens, Tri-Van, C. Vogel, and T. Coveyou, "Dynamic radar cross section and radar doppler measurements of commercial general electric windmill power turbines part 1: Predicted and measured radar signatures," IEEE Antennas and Propagation Magazine, Vol. 50, No. 2, 211-219, doi: 10.1109/MAP.2008.4562424, Apr. 2008.

    12. Schubel, P. J. and R. J. Crossley, "Wind turbine blade design," MDPI, Energies, Vol. 5, No. 9, 3425-3449, doi:10.3390/en5093425, 2012.