Broadband Adaptive RCS Computation through Characteristic Basis Function Method

A broadband radar cross section (RCS) calculation approach is proposed based on the characteristic basis function method (CBFM). In the proposed approach, the desired arbitrary frequency band is adaptively divided into multiple subband in consideration of the characteristic basis functions (CBFs) nu...

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Main Authors: Guohua Wang, Yufa Sun
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Electrical and Computer Engineering
Online Access:http://dx.doi.org/10.1155/2014/195409
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author Guohua Wang
Yufa Sun
author_facet Guohua Wang
Yufa Sun
author_sort Guohua Wang
collection DOAJ
description A broadband radar cross section (RCS) calculation approach is proposed based on the characteristic basis function method (CBFM). In the proposed approach, the desired arbitrary frequency band is adaptively divided into multiple subband in consideration of the characteristic basis functions (CBFs) number, which can reduce the universal characteristic basis functions (UCBFs) numbers after singular value decomposition (SVD) procedure at lower subfrequency band. Then, the desired RCS data can be obtained by splicing the RCS data in each subfrequency band. Numerical results demonstrate that the proposed method achieve a high accuracy and efficiency over a wide frequency range.
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spelling doaj-art-fb97f60eabb34bfda02e549a10fe7fe52025-08-20T02:22:55ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552014-01-01201410.1155/2014/195409195409Broadband Adaptive RCS Computation through Characteristic Basis Function MethodGuohua Wang0Yufa Sun1Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education, Anhui University, No. 111 Jiu Long Road, Hefei 230601, ChinaKey Laboratory of Intelligent Computing & Signal Processing, Ministry of Education, Anhui University, No. 111 Jiu Long Road, Hefei 230601, ChinaA broadband radar cross section (RCS) calculation approach is proposed based on the characteristic basis function method (CBFM). In the proposed approach, the desired arbitrary frequency band is adaptively divided into multiple subband in consideration of the characteristic basis functions (CBFs) number, which can reduce the universal characteristic basis functions (UCBFs) numbers after singular value decomposition (SVD) procedure at lower subfrequency band. Then, the desired RCS data can be obtained by splicing the RCS data in each subfrequency band. Numerical results demonstrate that the proposed method achieve a high accuracy and efficiency over a wide frequency range.http://dx.doi.org/10.1155/2014/195409
spellingShingle Guohua Wang
Yufa Sun
Broadband Adaptive RCS Computation through Characteristic Basis Function Method
Journal of Electrical and Computer Engineering
title Broadband Adaptive RCS Computation through Characteristic Basis Function Method
title_full Broadband Adaptive RCS Computation through Characteristic Basis Function Method
title_fullStr Broadband Adaptive RCS Computation through Characteristic Basis Function Method
title_full_unstemmed Broadband Adaptive RCS Computation through Characteristic Basis Function Method
title_short Broadband Adaptive RCS Computation through Characteristic Basis Function Method
title_sort broadband adaptive rcs computation through characteristic basis function method
url http://dx.doi.org/10.1155/2014/195409
work_keys_str_mv AT guohuawang broadbandadaptivercscomputationthroughcharacteristicbasisfunctionmethod
AT yufasun broadbandadaptivercscomputationthroughcharacteristicbasisfunctionmethod