A Computationally Efficient 3-D Full-Wave Model for Coherent em Scattering from Complex-Geometry Hydrometeors Based on MoM/CBFM-Enhanced Algorithm

Fenni, I; Haddad, ZS; Roussel, H; Kuo, KS; Mittra, R

A Computationally Efficient 3-D Full-Wave Model for Coherent em Scattering from Complex-Geometry Hydrometeors Based on MoM/CBFM-Enhanced Algorithm

Fenni, I Haddad, ZS Roussel, H Kuo, KS Mittra, R

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Geoscience and Remote Sensing, 2018, 56 (5), pp. 2674 - 2688
Issue Date:: 2018-05-01

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Field	Value	Language
dc.contributor.author	Fenni, I	en_US
dc.contributor.author	Haddad, ZS	en_US
dc.contributor.author	Roussel, H	en_US
dc.contributor.author	Kuo, KS	en_US
dc.contributor.author	Mittra, R https://orcid.org/0000-0002-0960-2708	en_US
dc.date.issued	2018-05-01	en_US
dc.identifier.citation	IEEE Transactions on Geoscience and Remote Sensing, 2018, 56 (5), pp. 2674 - 2688	en_US
dc.identifier.issn	0196-2892	en_US
dc.identifier.uri	http://hdl.handle.net/10453/126507
dc.description.abstract	© 1980-2012 IEEE. An accurate representation of the electromagnetic (EM) behavior of precipitation particles requires modeling of realistic complex geometry and a numerically efficient technique to calculate averaged scattering properties over multiple random target orientations. The discrete dipole approximation is commonly used to compute scattering and absorption by snow particles, because of its geometry flexibility and numerical low cost. However, this method becomes inefficient when the scattering quantities need to be calculated for a large number of orientations. To overcome this limitation, we apply, in this paper, a direct solver-based method, known as the characteristic basis function method (CBFM), to the modeling of scattering by randomly oriented and complex-shaped snow particles. This domain decomposition technique is based on the generation of a new set of basis functions adapted to the geometry of the scatterer in order to significantly reduce the numerical size of the EM problem. This enables us to use a direct solver for the resolution of the final compressed system of linear equations, which is better adapted for multiple excitation problems. When applied to numerically large snow particles, our CBFM-based model, named Numerically Efficient Scattering by Complex Particles, has been shown to yield good results, which compare well with those obtained with discrete dipole scattering, while providing a dramatic reduction in the CPU time.	en_US
dc.relation.ispartof	IEEE Transactions on Geoscience and Remote Sensing	en_US
dc.relation.isbasedon	10.1109/TGRS.2017.2781625	en_US
dc.subject.classification	Geological & Geomatics Engineering	en_US
dc.title	A Computationally Efficient 3-D Full-Wave Model for Coherent em Scattering from Complex-Geometry Hydrometeors Based on MoM/CBFM-Enhanced Algorithm	en_US
dc.type	Journal Article
utslib.citation.volume	5	en_US
utslib.citation.volume	56	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	0909 Geomatic Engineering	en_US
utslib.for	0404 Geophysics	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access
pubs.issue	5	en_US
pubs.publication-status	Published	en_US
pubs.volume	56	en_US

Abstract:

© 1980-2012 IEEE. An accurate representation of the electromagnetic (EM) behavior of precipitation particles requires modeling of realistic complex geometry and a numerically efficient technique to calculate averaged scattering properties over multiple random target orientations. The discrete dipole approximation is commonly used to compute scattering and absorption by snow particles, because of its geometry flexibility and numerical low cost. However, this method becomes inefficient when the scattering quantities need to be calculated for a large number of orientations. To overcome this limitation, we apply, in this paper, a direct solver-based method, known as the characteristic basis function method (CBFM), to the modeling of scattering by randomly oriented and complex-shaped snow particles. This domain decomposition technique is based on the generation of a new set of basis functions adapted to the geometry of the scatterer in order to significantly reduce the numerical size of the EM problem. This enables us to use a direct solver for the resolution of the final compressed system of linear equations, which is better adapted for multiple excitation problems. When applied to numerically large snow particles, our CBFM-based model, named Numerically Efficient Scattering by Complex Particles, has been shown to yield good results, which compare well with those obtained with discrete dipole scattering, while providing a dramatic reduction in the CPU time.

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http://hdl.handle.net/10453/126507