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Journal of Electrical and Computer Engineering
Volume 2014 (2014), Article ID 195409, 5 pages
http://dx.doi.org/10.1155/2014/195409
Research Article

Broadband Adaptive RCS Computation through Characteristic Basis Function Method

Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education, Anhui University, No. 111 Jiu Long Road, Hefei 230601, China

Received 23 February 2014; Accepted 12 June 2014; Published 21 August 2014

Academic Editor: Igor Djurović

Copyright © 2014 Guohua Wang and Yufa Sun. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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.