relation: http://www.eledia.org/students-reports/889/
title: Clustering Complex Excitations in Linear Arrays with Hilbert Ordering
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 study investigates the clustering of linear phased arrays (PAs)  employing complex weights. Leveraging the inherent locality-preserving  nature of the Hilbert curve, an initial reduction of problem dimensionality  is performed. Subsequently, a basic clustering algorithm is adopted to  enhance the alignment of the radiated pattern with a predefined reference.  Both contiguous and noncontiguous partitions of the Hilbert-ordered list of  complex excitations are comprehensively evaluated to systematically explore the  solution space. Representative results, including reference PAs generating  steered pencil and shaped beams, are presented for validation and to highlight  the superior performance of the proposed approach over conventional k-means algorithms.
publisher: ELEDIA Research Center - University of Trento
date: 2024-06-14
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/889/1/Clustering_Complex_Excitations_in_Linear_Arrays_with_Hilbert_Ordering.pdf
identifier:   BENONI, Arianna and ROCCA, Paolo and ANSELMI, Nicola and MASSA, Andrea  (2024) Clustering Complex Excitations in Linear Arrays with Hilbert Ordering.  Technical Report. ELEDIA Research Center - University of Trento.