Abstract
In this paper characteristic parameters of low frequency scattered signal are analyzed for their dependence on the object’s geometry, and specificially the Rayleigh coefficient is identified as a suitable quantity for the imaging and identification applications involving and size estimations.
In order to recover the Rayleigh coefficient from the backscattered signals, an inverse scattering model is presented here, which is based on the time-domain concept of electromagnetic theory. Using the first five moment-condition integrals, the returned pulse response is processed to recover the Raleigh coefficient, and the next higher order nonzero coefficient of the of the power series expansion in k (wave number) of the object back-scattering response. The Rayleigh coefficient thus recovered are related to the volume, elongation factor (eccentricity), and orientation of an equivalent spheroid by use of a non-linear optimization algorithm.
Numerical simulation of the scheme of this paper has been tested on different scatterers. The result of these simulation are presented.
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© 1985 D. Reidel Publishing Company
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Chaudhuri, S.K. (1985). Electromagnetic Low Frequency Imaging. In: Boerner, WM., et al. Inverse Methods in Electromagnetic Imaging. NATO ASI Series, vol 143. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-5271-3_17
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DOI: https://doi.org/10.1007/978-94-009-5271-3_17
Publisher Name: Springer, Dordrecht
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