Accelerating the CBFM-enhanced jacobi method
Paper in proceedings, 2017

The Characteristic Basis Function Method (CBFM)-enhanced Jacobi method has been introduced as an improvement to the standard iterative Jacobi method for finite array analysis. This technique is a domain decomposition approach based on the Method of Moments (MoM) formulation. In some cases, e.g. array environments with a low degree of mutual coupling, the runtime benefit of the CBFM-enhanced Jacobi method is not as significant when compared to that of the Jacobi technique. The reason for this is that additional computational overhead is introduced during each iteration, i.e. setting up and solving the CBFM reduced matrix equation. In this work the adaptive cross approximation (ACA) algorithm is used to accelerate this step in the CBFM-enhanced Jacobi method.

Author

D. J. Ludick

Stellenbosch University

Matthys M Botha

Stellenbosch University

Rob Maaskant

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

D. B. Davidson

Stellenbosch University

19th International Conference on Electromagnetics in Advanced Applications, ICEAA 2017; Verona; Italy; 11 September 2017 through 15 September 2017

346-349 8065247

Subject Categories

Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1109/ICEAA.2017.8065247

ISBN

978-150904451-1

More information

Latest update

3/23/2018