relation: http://www.eledia.org/students-reports/898/
title: An Innovative Approach to Clustered Phased Array Design Using Power Pattern Matching: The Linear Array Model
creator: BENONI, Arianna
creator: POLI, Lorenzo
creator: ROCCA, Paolo
creator: MASSA, Andrea
subject: A WC Next Generation Wireless Communications
subject: M EA Evolutionary Algorithms
description: This study presents a design methodology for subarrayed phased arrays (PAs) that relies solely on amplitude and phase controls within each subarray, achieving power patterns that closely follow desired reference pattern. The synthesis process operates within the power pattern domain, employing a novel complex-excitation clustering strategy. Results are provided to showcase the effectiveness of this method, demonstrating improvements over benchmark results from excitation matching (EM)-based clustering techniques.
publisher: ELEDIA Research Center - University of Trento
date: 2024
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/898/1/An_Innovative_Approach_to_Clustered_Phased_Array_Design_Using_Power_Pattern_Matching_The_Linear_Array_Model.pdf
identifier:   BENONI, Arianna and POLI, Lorenzo and ROCCA, Paolo and MASSA, Andrea  (2024) An Innovative Approach to Clustered Phased Array Design Using Power Pattern Matching: The Linear Array Model.  Technical Report. ELEDIA Research Center - University of Trento.