DocumentCode :
1436257
Title :
GPR Wave Scattering From Complex Objects Using the Semi-Analytic Mode Matching Algorithm: Coordinate Scattering Center Selection
Author :
Morgenthaler, Ann W. ; Rappaport, Carey M.
Author_Institution :
Northeastern Univ., Boston, MA, USA
Volume :
49
Issue :
6
fYear :
2011
fDate :
6/1/2011 12:00:00 AM
Firstpage :
1949
Lastpage :
1956
Abstract :
The semi-analytic mode matching (SAMM) algorithm is a quick and efficient computational method that models wave scattering from objects in half spaces. This algorithm relies on appropriately choosing coordinate scattering centers (CSCs) for modal expansions, and successful automation of the CSC selection process is the goal of this paper. CSCs are found for several complex shaped scattering test objects by considering the radius of curvature (ROC) function for each object. The CSCs are found to be largely independent of frequency and located at cusps in the ROC function for scattering objects of modest aspect ratios. Additional CSCs may be required in numbers that are directly proportional to the aspect ratios of more complicated objects, but again, the extra CSC locations are largely independent of frequency. Excellent results are found comparing SAMM and finite-difference frequency domain for 2-D scattering objects that are 0.1-15 wavelengths in size.
Keywords :
curvature measurement; electromagnetic wave scattering; finite difference methods; frequency-domain analysis; ground penetrating radar; modal analysis; CSC; GPR wave scattering; ROC function; SAMM algorithm; complex object; computational method; coordinate scattering center selection; finite-difference frequency domain; modal expansion; radius of curvature function; semianalytic mode matching algorithm; Computational modeling; Frequency domain analysis; Geometry; Ground penetrating radar; Mathematical model; Scattering; Shape; Computational electromagnetic modeling; dielectric scattering; dispersive media; electromagnetic propagation; ground-penetrating radar (GPR); modal methods;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2010.2095862
Filename :
5702362
Link To Document :
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