Numerical study on the validity of the quasi-specular and two-scale models for rough surface parameter estimation: one dimensional surfaces

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dc.contributor.authorMarchand, Roger T.en
dc.contributor.committeechairBrown, Garyen
dc.contributor.committeememberde Wolf, David A.en
dc.contributor.committeememberKohler, Werneren
dc.contributor.committeememberStutzman, Warren L.en
dc.contributor.committeememberRiad, Sedkien
dc.contributor.departmentElectrical Engineeringen
dc.date.accessioned2014-03-14T21:17:17Zen
dc.date.adate2007-08-06en
dc.date.available2014-03-14T21:17:17Zen
dc.date.issued1996en
dc.date.rdate2007-08-06en
dc.date.sdate2007-08-06en
dc.description.abstractThis study examines the use of the quasi-specular and two-scale models in estimating rough surface parameters from the average radar cross section of randomly rough surfaces, with the goal of understanding what scattering mechanisms limit their applicability. The ranges of validity of these models are ascertained by comparing the average backscattered normalized radar cross section given by the models to results obtained using an exact numerical Monte Carlo approach. The advantage of using a numerical solution is that the exact surface parameters are known quantities. The surfaces studied here are rough in only one dimension (that is, they are grooved in one dimension or corduroy). The height of the surfaces are Gaussian distributed and have either a Gaussian or a Pierson-Moskowitz spectrum. For surfaces with Gaussian spectra, it is found that the quasi-specular model can be used to obtain good estimates of the surface parameters when diffraction and multiple scattering effects are not important. Approximate validity conditions are established for this model. For surfaces with Pierson-Moskowitz spectra, it is found that the quasi-specular model can be used to obtain good estimates of the surface parameters for backscattering angles of less than 20°, and a two-scale model can be used for backscattering angles of up to at least 60°. However, the quasi-specular model must be modified to use only a portion of the surface spectrum, and this modification shows problematic dependence on the surface roughness, the incident wavelength, and the incident polarization. Of particular importance in the estimation problem are the numerical fluctuations present in the Monte Carlo simulation and the angular region over which data is compared to the model. Both of these factors are explored.en
dc.description.degreePh. D.en
dc.format.extentxx, 307 leavesen
dc.format.mediumBTDen
dc.format.mimetypeapplication/pdfen
dc.identifier.otheretd-08062007-094412en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-08062007-094412/en
dc.identifier.urihttp://hdl.handle.net/10919/39063en
dc.language.isoenen
dc.publisherVirginia Techen
dc.relation.haspartLD5655.V856_1996.M374.pdfen
dc.relation.isformatofOCLC# 37177363en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V856 1996.M374en
dc.titleNumerical study on the validity of the quasi-specular and two-scale models for rough surface parameter estimation: one dimensional surfacesen
dc.typeDissertationen
dc.type.dcmitypeTexten
thesis.degree.disciplineElectrical Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

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