Parallelized Multilevel Characteristic Basis function Method (MLCBFM) combined with Adaptive Cross Approximation (ACA) for the analysis of the scattering from electrically large rough surfaces

Abstract

Listen

Translate article

In this paper, we present a parallel implementation of the Multilevel Characteristic Basis Function Method (MLCBFM) for the analysis of the scattering from electrically large rough surfaces. The Multilevel Characteristic Basis Function method is a natural extension of the conventional mono-level CBFM, which addresses the issues of high computation burden and memory requirement associated with this type of problems. In particular, the MLCBFM is very well suited for parallelization and is characterized by a considerable time-advantage with respect to the conventional CBFM. Furthermore, the Adaptive Cross Approximation (ACA) is incorporated for fast calculation of the interaction sub-matrices.