DocumentCode
87588
Title
Analytical method for monostatic radar cross section calculation of a perfectly conducting wind turbine model located over dielectric lossy half space
Author
Makal Yucedag, Senem ; Mert Yucedag, Okan ; Serim, Huseyin Avni
Author_Institution
Sci. & Technol. Res. Council of Turkey, TUBITAK Bilgem, Kocaeli, Turkey
Volume
8
Issue
8
fYear
2014
fDate
Oct-14
Firstpage
965
Lastpage
970
Abstract
Radar cross section (RCS) of a wind turbine has a key role for determining possible effects of wind farms on radar and navigation systems. Closed form expressions of the physical optics technique are applied to calculate monostatic radar cross section of an electrically large wind turbine model over a dielectric, lossy half space. The model is constructed with perfectly conducting canonical structures. First-order effects of the half space to the electromagnetic scattering mechanism are approximated with four-path model. Doppler spectrogram of the turbine model over lossy ground is obtained using short-time Fourier transform. The closed form expressions provide very-fast RCS calculations for different broadside directions and blade rotation speeds. Performance of this proposed method shows that it is suitable for real-time simulations that analyse the effects of the wind farms to the radar and navigation systems performance.
Keywords
Fourier transforms; blades; electromagnetic wave scattering; physical optics; radar cross-sections; wind turbines; Doppler spectrogram; RCS; blade rotation speed; broadside direction; dielectric lossy half space; electrically large-wind turbine model; electromagnetic scattering mechanism; first-order effects; four-path model; lossy ground; monostatic radar cross section calculation; navigation systems; perfectly-conducting canonical structures; perfectly-conducting wind turbine model; physical optics technique; radar system; real-time simulations; short-time Fourier transform; turbine model; very-fast RCS calculation;
fLanguage
English
Journal_Title
Radar, Sonar & Navigation, IET
Publisher
iet
ISSN
1751-8784
Type
jour
DOI
10.1049/iet-rsn.2014.0055
Filename
6911075
Link To Document