DocumentCode :
2706724
Title :
A fast efficient technique for solving monotonic RCS using the SVD method
Author :
Gu, Jing-Jing ; Gu, Chang-Qing
Author_Institution :
Coll. of Inf. Sci. & Technol., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
fYear :
2009
fDate :
27-29 Oct. 2009
Firstpage :
896
Lastpage :
899
Abstract :
In this paper, we apply multi-layer singular value decomposition (SVD) technology to the traditional characteristic basis function method (CBFM), then construct a series angle and polarization independent orthonormal characteristic basis functions (CBFs). By different linear combination of these orthonormal basic functions, we can get the surface current distributing of PEC object of any direction illuminating waves, and then we can obtain monotonic RCS. This article also combines physics optics (PO) method and dynamic storage binary tree technique, and it can reduce memory requirements and CPU-time. Numerical results show the correctness and effectiveness of this method.
Keywords :
electromagnetic wave polarisation; physical optics; radar cross-sections; singular value decomposition; CPU-time; PEC object; SVD method; characteristic basis function method; direction illuminating waves; dynamic storage binary tree; memory requirement; monotonic RCS; multilayer singular value decomposition; physics optics; polarization independent orthonormal characteristic basis function; radar cross section; series angle; Binary trees; Educational institutions; Equations; Matrix decomposition; Optical polarization; Optical surface waves; Physics; Space technology; Surface waves; Transmission line matrix methods; characteristic basic function; monotonic RCS component; physics optics(PO); single value decompostion(SVD);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, 2009 3rd IEEE International Symposium on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4076-4
Type :
conf
DOI :
10.1109/MAPE.2009.5355786
Filename :
5355786
Link To Document :
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