article · NASA Technical Reports Server (NASA) · 1986
Electromagnetic backscattering by corner reflectors
Constantine A. Balanis, T. Griesser
Cited by 0Abstract and details only
Abstract
The Geometrical Theory of Diffraction (GTD), which supplements Geometric Optics (GO), and the Physical Theory of Diffraction (PTD), which supplements Physical Optics (PO), are used to predict the backscatter cross sections of dihedral corner reflectors which have right, obtuse, or acute included angles. These theories allow individual backscattering mechanisms of the dihedral corner reflectors to be identified and provide good agreement with experimental results in the azimuthal plane. The advantages and disadvantages of the geometrical and physical theories are discussed in terms of their accuracy, usefulness, and complexity. Numerous comparisons of analytical results with experimental data are presented. While physical optics alone is more accurate and more useful than geometrical optics alone, the combination of geometrical optics and geometrical diffraction seems to out perform physical optics and physical diffraction when compared with experimental data, especially for acute angle dihedral corner reflectors.
Cite this paper
Balanis, C. A., & Griesser, T. (1986). Electromagnetic backscattering by corner reflectors. NASA Technical Reports Server (NASA).
Balanis, Constantine A., and T. Griesser. “Electromagnetic backscattering by corner reflectors.” NASA Technical Reports Server (NASA), 1986.
Balanis, Constantine A., and T. Griesser. 1986. “Electromagnetic backscattering by corner reflectors.” NASA Technical Reports Server (NASA).
Balanis, C.A. and Griesser, T. (1986) ‘Electromagnetic backscattering by corner reflectors’, NASA Technical Reports Server (NASA).
@article{balanis1986electromagnetic,
title = {{Electromagnetic backscattering by corner reflectors}},
author = {Balanis, Constantine A. and Griesser, T.},
journal = {NASA Technical Reports Server (NASA)},
year = {1986}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
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