ENHANCED CHARACTERISTIC BASIS FUNCTION METHOD FOR SOLVING THE MONOSTATIC RADAR CROSS SECTION OF CONDUCTING TARGETS
Author(s) -
Jinyu Zhu,
Yufa Sun,
Hongyu Fang
Publication year - 2018
Publication title -
progress in electromagnetics research m
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.216
H-Index - 31
ISSN - 1937-8726
DOI - 10.2528/pierm18022703
Subject(s) - radar cross section , basis (linear algebra) , cross section (physics) , function (biology) , bistatic radar , section (typography) , basis function , radar , computer science , physics , mathematical analysis , mathematics , geometry , telecommunications , radar imaging , evolutionary biology , biology , operating system , quantum mechanics
In this paper, an enhanced characteristic basis function method (ECBFM) is proposed to calculate the monostatic radar cross section (RCS) of electrical large targets efficiently. The enhanced characteristic basis functions (ECBFs) are defined by combining improved primary-characteristic basis functions (IP-CBFs) with the first level improved secondary-characteristic basis functions (IS-CBFs) for each block. IS-CBFs are obtained by substituting IP-CBFs for PCBFs in Foldy-Lax multiple scattering equation in which mutual coupling effects among all blocks can be included systematically. As a result, a small number of incident plane waves (PWs) is sufficient when dealing with large scale targets. The numerical results demonstrate that the computational efficiency in this paper is much higher than that of the improved primary-characteristic basis function method (IP-CBFM) without losing any accuracy.
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