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Lowering In-Memory Footprint of Antenna Beams via Polynomial Approximation

2024/12/30 by Ali Taqi, Karel Adámek, Taqi, Ali +9
Engineering · #Advanced MIMO Systems Optimization #Antenna Design and Analysis #Antenna Design and Optimization #FOS: Physical sciences #Instrumentation and Methods for Astrophysics (astro-ph.IM)

paper · pdf · doi:10.48550/arxiv.2412.21010

openalex publication_date 2024/12/30 · openalex created_date 2025/01/01 · openalex updated_date 2026/07/28

Abstract

With the emergence of new radio telescopes promising larger fields of view at lower observation frequencies (e.g., SKA), addressing direction-dependent effects (DDE) (e.g., direction-specific beam responses), polarisation leakage, and pointing errors has become all the more important. Be it through A-projection or otherwise, addressing said effects often requires reliable representations of antenna/station beams; yet, these require significant amounts of computational memory as they are baseline-, frequency-, time-, and polarisation-dependent. A novel prototype is reported here to approximate antenna beams suitable for SKA-MID using Zernike polynomials. It is shown that beam kernels can be well approximated, paving the way for future optimisations towards facilitating more efficient beam-dependent solutions and approaches to tackling the aforementioned challenges, all of which are essential for large-scale radio telescopes.

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