DocumentCode
2922589
Title
Fast calculation of bistatic RCS for conducting objects using the adaptive cross approximation algorithm
Author
Lei Chen ; Yufa Sun ; Shuaishuai Yang
Author_Institution
Key Lab. of Intell. Comput. & Signal Process., Anhui Univ., Hefei, China
fYear
2012
fDate
22-26 Oct. 2012
Firstpage
999
Lastpage
1002
Abstract
Adaptive cross approximation (ACA) algorithm as a kind of common matrix compression method is often used to analyze the electromagnetic radiation and scattering problems. In the region of far field, the impedance matrix is compressed by ACA method, and the extracted impedance matrix is accelerated filling by equivalent dipole-moment method (EDM). In the area of near field, the method of moments or the equivalent dipole-moment method is applied for filling the impedance matrix. The iterative near field preconditioning technique is used to solve matrix equation, so that fast calculation of radar cross section (RCS) can be achieved. Numerical results show that the computational efficiency is improved significantly via applying the presented method in this paper without sacrificing much accuracy.
Keywords
approximation theory; electromagnetic wave scattering; impedance matrix; iterative methods; method of moments; radar cross-sections; ACA algorithm; EDM; adaptive cross approximation algorithm; bistatic RCS; conducting objects; electromagnetic radiation analysis; electromagnetic scattering problems; equivalent dipole-moment method; extracted impedance matrix; iterative near field preconditioning technique; matrix compression method; matrix equation; method of moments; radar cross-section; Approximation algorithms; Approximation methods; Electromagnetic scattering; Filling; Impedance; Matrix decomposition; Moment methods; adaptive cross approximation algorithm; equivalent dipole-moment method; near field preconditioning; radar cross section;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas, Propagation & EM Theory (ISAPE), 2012 10th International Symposium on
Conference_Location
Xian
Print_ISBN
978-1-4673-1799-3
Type
conf
DOI
10.1109/ISAPE.2012.6408943
Filename
6408943
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