Adaptive Generation Of Excitation-Independent Characteristic Basis Functions

Keywords

Characteristic Basis Function Method (CBFM); Fast Adaptive Cross Approximation (FACA); Method of Moments (MoM)

Abstract

The Characteristic Basis Function Method (CBFM) has been widely used in recent years to solve a variety of electromagnetic scattering problems because it offers a way to direct-solve large problems without the use of iteration, enabling it to not only handle multiple excitation (r.h.s.) problems in an efficient manner, but to also bypass the issues of ill-conditioning as well as generation of preconditioners. In the past, the choice of number of plane wave excitations used to generate the excitation-independent CBFs have been made empirically, on an ad hoc basis, rather than systematically. This paper presents an adaptive approach for generating the CBFs, which provides a systematic way to determine of the number of plane waves needed for CBF generation, and this in turn renders the CBFM computationally efficient.

Publication Date

10-18-2017

Publication Title

2017 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2017

Number of Pages

29-30

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/USNC-URSI.2017.8074881

Socpus ID

85039935047 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85039935047

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