relation: http://www.eledia.org/students-reports/886/
title: Clustered Linear Arrays with Hilbert-Ordered Excitations
creator: BENONI, Arianna
creator: ROCCA, Paolo
creator: ANSELMI, Nicola
creator: MASSA, Andrea
subject: A WC Next Generation Wireless Communications
subject: M AT Analytic Techniques
description: This paper addresses the clustering of linear phased arrays (PAs) by adopting complex weights. Exploiting the locality-preservation property inherent in the Hilbert curve, the problem's  dimensionality is heavily reduced.  Subsequently, a basic clustering algorithm is implemented to optimize the alignment of the radiated pattern with a predetermined reference. We comprehensively evaluate both contiguous and noncontiguous partitions of the Hilbert-ordered list of complex excitations to thoroughly sample the solution space.  Representative results, including reference PAs generating steered pencil and shaped beams, are  presented for validation and to highlight the effectiveness of our approach compared to state-of-the-art k-means algorithms.
publisher: ELEDIA Research Center - University of Trento
date: 2024-05-24
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/886/1/Clustered_Linear_Arrays_with_Hilbert-Ordered_Excitations.pdf
identifier:   BENONI, Arianna and ROCCA, Paolo and ANSELMI, Nicola and MASSA, Andrea  (2024) Clustered Linear Arrays with Hilbert-Ordered Excitations.  Technical Report. ELEDIA Research Center - University of Trento.