16 resultados para Halbach Array
Filtro por publicador
- Repository Napier (1)
- Aberdeen University (4)
- Aberystwyth University Repository - Reino Unido (2)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (3)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (2)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (2)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (2)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (3)
- Aston University Research Archive (25)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (6)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (3)
- Bioline International (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (29)
- Boston University Digital Common (1)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (4)
- CaltechTHESIS (7)
- Cambridge University Engineering Department Publications Database (67)
- CentAUR: Central Archive University of Reading - UK (48)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (87)
- Cochin University of Science & Technology (CUSAT), India (16)
- Collection Of Biostatistics Research Archive (6)
- Dalarna University College Electronic Archive (2)
- Deakin Research Online - Australia (11)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (3)
- Digital Commons - Michigan Tech (1)
- Digital Commons - Montana Tech (1)
- Digital Commons at Florida International University (1)
- Digital Peer Publishing (1)
- DigitalCommons - The University of Maine Research (1)
- DigitalCommons@The Texas Medical Center (2)
- Diposit Digital de la UB - Universidade de Barcelona (1)
- Duke University (4)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (6)
- Glasgow Theses Service (1)
- Greenwich Academic Literature Archive - UK (5)
- Helda - Digital Repository of University of Helsinki (6)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (3)
- Indian Institute of Science - Bangalore - Índia (49)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (1)
- Massachusetts Institute of Technology (1)
- Memorial University Research Repository (1)
- National Center for Biotechnology Information - NCBI (8)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (3)
- Publishing Network for Geoscientific & Environmental Data (2)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (116)
- Queensland University of Technology - ePrints Archive (245)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (9)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositorio Institucional de la Universidad de Málaga (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (20)
- SAPIENTIA - Universidade do Algarve - Portugal (2)
- School of Medicine, Washington University, United States (1)
- Universidad de Alicante (1)
- Universidad del Rosario, Colombia (1)
- Universidad Politécnica de Madrid (28)
- Universidade Complutense de Madrid (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (1)
- Université de Lausanne, Switzerland (3)
- Université de Montréal, Canada (1)
- University of Michigan (20)
- University of Queensland eSpace - Australia (58)
- University of Washington (1)
- WestminsterResearch - UK (2)
Resumo:
A Multi-Objective Antenna Placement Genetic Algorithm (MO-APGA) has been proposed for the synthesis of matched antenna arrays on complex platforms. The total number of antennas required, their position on the platform, location of loads, loading circuit parameters, decoupling and matching network topology, matching network parameters and feed network parameters are optimized simultaneously. The optimization goal was to provide a given minimum gain, specific gain discrimination between the main and back lobes and broadband performance. This algorithm is developed based on the non-dominated sorting genetic algorithm (NSGA-II) and Minimum Spanning Tree (MST) technique for producing diverse solutions when the number of objectives is increased beyond two. The proposed method is validated through the design of a wideband airborne SAR