20062006 IEEE Antennas and Propagation Society International SymposiumRequires access

Solving Large Body of Revolution (BOR) problems using the Characteristic Basis Function Method and the FFT-based Matrix Generation

R. Mittra, Shuqing Li, Ji‐Fu Ma

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Abstract

The recently-developed characteristic basis function method (CBFM) is used in conjunction with the fast Fourier transform (FFT) for matrix generation to improve the efficiency of the method of moments (MoM) when analyzing electromagnetic scattering from large perfect electrically conducting (PEC) bodies of revolution (BORs). The CBFs are high-level basis functions comprising of conventional subdomain bases, and their use leads to a reduced matrix that is solved by using a direct method. By exploiting the CBFM along with the FFT technique for generating the MoM matrix, memory requirement as well as computational time can be significantly reduced for large BOR problems

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What this paper is about

The recently-developed characteristic basis function method (CBFM) is used in conjunction with the fast Fourier transform (FFT) for matrix generation to improve the efficiency of the method of moments (MoM) when analyzing electromagnetic scattering from large perfect electrically conducting (PEC) bodies of revolution (BORs). The CBFs are high-level basis functions comprising of conventional subdomain bases, and their use leads to a reduced matrix that is solved by using a direct method. By exploiting the CBFM along with the FFT technique for generating the MoM matrix, memory requirement as well as computational time can be significantly reduced for large BOR problems

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Available abstract

The recently-developed characteristic basis function method (CBFM) is used in conjunction with the fast Fourier transform (FFT) for matrix generation to improve the efficiency of the method of moments (MoM) when analyzing electromagnetic scattering from large perfect electrically conducting (PEC) bodies of revolution (BORs). The CBFs are high-level basis functions comprising of conventional subdomain bases, and their use leads to a reduced matrix that is solved by using a direct method. By exploiting the CBFM along with the FFT technique for generating the MoM matrix, memory requirement as well as computational time can be significantly reduced for large BOR problems

Key concepts: Fast Fourier transform, Basis function, Method of moments (probability theory), Matrix (chemical analysis), Basis (linear algebra), Function (biology), Mathematics, Algorithm

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