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primary topic: Clustering Complex Excitations in Linear Arrays with Hilbert Ordering

Clustering Complex Excitations in Linear Arrays with Hilbert Ordering
type: Manuscript
type: Article
abstract: 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.
date: 2024-06-14
status: published
author list: authors
type: EPrint
type: MonographEPrint
is part of: repository
has document: Clustering Complex Excitations in Linear Arrays with Hilbert Ordering (Text)
subject: A WC Next Generation Wireless Communications
subject: M AT Analytic Techniques

Clustering Complex Excitations in Linear Arrays with Hilbert Ordering (Text)
type: Document
has file: Clustering_Complex_Excitations_in_Linear_Arrays_with_Hilbert_Ordering.pdf
has part: Clustering_Complex_Excitations_in_Linear_Arrays_with_Hilbert_Ordering.pdf

ELEDIA Research Center - University of Trento
type: Organization

Paolo ROCCA
type: Person
given name: Paolo
family name: ROCCA

Nicola ANSELMI
type: Person
given name: Nicola
family name: ANSELMI

Arianna BENONI
type: Person
given name: Arianna
family name: BENONI

Andrea MASSA
type: Person
given name: Andrea
family name: MASSA

HTML Summary of #889 Clustering Complex Excitations in Linear Arrays with Hilbert Ordering
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primary topic: Clustering Complex Excitations in Linear Arrays with Hilbert Ordering

A WC Next Generation Wireless Communications
type: Concept

M AT Analytic Techniques
type: Concept