Efficient Analysis of SKA-Low Antenna Arrays with Dynamic Macro Basis Functions

The SKA-Low radio astronomy telescope forms part of the Square Kilometre Array (SKA) project. Accurate electromagnetic modelling of SKA-Low arrays consisting of SKA log-periodic antenna (SKALA) elements, is crucial to optimising the instrument’s performance. The current approach is to use iterative solvers based on the multilevel fast multipole method (MLFMM), however, the associated computational cost is a limiting factor to exploring station design layouts. This paper presents SKA-Low antenna array analysis results, using an alternative dynamic macro basis function (MBF) iterative solver and nested cross approximation (NCA). Significant runtime improvements over the MLFMM solver in the commercial FEKO software suite are demonstrated.

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Publication Details

Published
2024-09-02
DOI
https://doi.org/10.1109/iceaa61917.2024.10701946
Citations
1
Primary Topic
Radio Astronomy Observations and Technology
Type
article
Field-Weighted Citation Impact
0.33

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article

Efficient Analysis of SKA-Low Antenna Arrays with Dynamic Macro Basis Functions

Matthys M. Botha, André S. Conradie
1 citations
Radio Astronomy Observations and Technology
0.33
article

Efficient Analysis of SKA-Low Antenna Arrays with Dynamic Macro Basis Functions

Matthys M. Botha, André S. Conradie
article en
1 citations

Abstract

The SKA-Low radio astronomy telescope forms part of the Square Kilometre Array (SKA) project. Accurate electromagnetic modelling of SKA-Low arrays consisting of SKA log-periodic antenna (SKALA) elements, is crucial to optimising the instrument’s performance. The current approach is to use iterative solvers based on the multilevel fast multipole method (MLFMM), however, the associated computational cost is a limiting factor to exploring station design layouts. This paper presents SKA-Low antenna array analysis results, using an alternative dynamic macro basis function (MBF) iterative solver and nested cross approximation (NCA). Significant runtime improvements over the MLFMM solver in the commercial FEKO software suite are demonstrated.

Stellenbosch University (ZA)
National Research Foundation
Affordable and clean energy
Openalex Percentile: Top 34%
Radio Astronomy Observations and Technology
0.33
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