relation: http://www.eledia.org/students-reports/770/
title: ADS‐Guided Design of Planar Thinned Phased Arrays Through Genetic Optimization
creator: Salucci, M.
creator: Gottardi, G.
creator: Anselmi, N.
creator: Oliveri, G.
subject: A WC Next Generation Wireless Communications
subject: M AT Analytic Techniques
subject: M EA Evolutionary Algorithms
description: This work presents an innovative hybrid approach for synthesizing thinned planar phased arrays. The a-priori information provided  by analytical almost difference sets (ADSs) is profitably exploited by a customized stochastic optimization approach based on genetic algorithms (GAs). Such an ADSGA approach is able to overcome the current limitations of state-of-the-art techniques based on ADSs. Some numerical results are shown in order to assess the potentialities, as well as the limitations, of the proposed design methodology.
publisher: ELEDIA Research Center - University of Trento
date: 2018
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/770/1/ADS%E2%80%90Guided%20Design%20of%20Planar%20Thinned%20Phased%20Arrays%20Through%20Genetic%20Optimization.pdf
identifier:   Salucci, M. and Gottardi, G. and Anselmi, N. and Oliveri, G.  (2018) ADS‐Guided Design of Planar Thinned Phased Arrays Through Genetic Optimization.  Technical Report. ELEDIA Research Center - University of Trento.