TITLE

Polarimetric RCS Prediction Software Code for Large and Complex Objects

AUTHOR(S)
Kobayashi, Hirokazu; Song Shi; Yamaguchi, Yoshio
PUB. DATE
July 2012
SOURCE
Journal of Control Engineering & Technology;Jul2012, Vol. 2 Issue 3, p116
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
This paper discusses RCS (Radar Cross Section) predicting software code based on high-frequency technique, Physical Optics (PO) and Physical Theory of Diffraction (PTD) which are powerful asymptotic technique for the surface and edge currents integral in the computation of RCS for large and complex object. By distinguishing between illuminated and un-illuminated areas of target for multiple scattering fields, we can obtain total polarimetric scattering fields of an observation point. Target model is available for not only isolated one but also wide area terrain surface such as ground or sea, with various forms of vegetation, tree, or building. In order to keep high shadowing accuracy, an adaptive subdivision scheme algorithm, which is depending on the situation of incident-, reflection-, scattering-shadowing and multiple reflections, is applied to processing of this distinction. Since both of co- and cross-polarized RCS fields are calculated, the results are useful and effective for studying full polarimetric radar image processing or remote-sensing image decomposition analysis. In this paper we show description of scattering theory for the developed code to calculate full polarimetric RCS and several calculated RCS examples including Doppler spectrum simulation and measurement.
ACCESSION #
83144175

 

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