Efficient technique for broadband monostatic RCS using the characteristic basis function method with polynomial interpolation

Chen, X; Fei, C; Gu, C; Mittra, R

Efficient technique for broadband monostatic RCS using the characteristic basis function method with polynomial interpolation

Chen, X Fei, C Gu, C Mittra, R

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Publication Type:: Journal Article
Citation:: Electronics Letters, 2017, 53 (14), pp. 956 - 958
Issue Date:: 2017-07-06

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Field	Value	Language
dc.contributor.author	Chen, X	en_US
dc.contributor.author	Fei, C	en_US
dc.contributor.author	Gu, C	en_US
dc.contributor.author	Mittra, R https://orcid.org/0000-0002-0960-2708	en_US
dc.date.issued	2017-07-06	en_US
dc.identifier.citation	Electronics Letters, 2017, 53 (14), pp. 956 - 958	en_US
dc.identifier.issn	0013-5194	en_US
dc.identifier.uri	http://hdl.handle.net/10453/126518
dc.description.abstract	© The Institution of Engineering and Technology 2017. Previous research on the characteristic basis function method (CBFM) has shown that the use of the ultra-wide band CBFM can efficiently solve the problem of computing the broadband monostatic radar cross-section (RCS) of a target by reducing the size of the associated impedance matrix and avoiding the repeated generation of the macro base functions. However, it is still necessary to repeatedly construct the reduced matrix at each frequency in the analysed frequency band, and an interpolation method is proposed to address this problem. It is shown that it is only needed to generate and store the reduced matrices at four frequency samples to cover the entire frequency band, and efficiently derive the reduced matrices at other frequencies via simple interpolation. Numerical results are given to demonstrate the accuracy and efficiency of the proposed method.	en_US
dc.relation.ispartof	Electronics Letters	en_US
dc.relation.isbasedon	10.1049/el.2017.1016	en_US
dc.subject.classification	Electrical & Electronic Engineering	en_US
dc.title	Efficient technique for broadband monostatic RCS using the characteristic basis function method with polynomial interpolation	en_US
dc.type	Journal Article
utslib.citation.volume	14	en_US
utslib.citation.volume	53	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	1005 Communications Technologies	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	14	en_US
pubs.publication-status	Published	en_US
pubs.volume	53	en_US

Abstract:

© The Institution of Engineering and Technology 2017. Previous research on the characteristic basis function method (CBFM) has shown that the use of the ultra-wide band CBFM can efficiently solve the problem of computing the broadband monostatic radar cross-section (RCS) of a target by reducing the size of the associated impedance matrix and avoiding the repeated generation of the macro base functions. However, it is still necessary to repeatedly construct the reduced matrix at each frequency in the analysed frequency band, and an interpolation method is proposed to address this problem. It is shown that it is only needed to generate and store the reduced matrices at four frequency samples to cover the entire frequency band, and efficiently derive the reduced matrices at other frequencies via simple interpolation. Numerical results are given to demonstrate the accuracy and efficiency of the proposed method.

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http://hdl.handle.net/10453/126518