{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/88020"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/88020","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Technique for the design of matched antennas using method of moment-based greedy best-first search","abstract":"\"As the number of wireless devices continues to grow, technical requirements and design constraints are approaching the limits of antenna performance and feature integration. Complex multi-band antennas that must satisfy stringent volumetric constraints are pushing the use of optimization tools to the top of the antenna designer's toolbox. Beyond parametric studies, global optimization algorithms have provided an array of insights into both theory and practical applications. In this thesis, a method of moments (MoM) based greedy best-first search (GBFS) technique for antenna optimization is presented. This novel approach using GBFS is a simple method to design antennas for minimizing the input reflection coefficient at one or multiple frequencies. By meshing the antenna region using MoM and applying a GBFS algorithm, antennas can be \"\"grown\"\" to optimize for certain performance specifications. The optimization technique results in designs that are contiguous pieces of metal, without \"\"islands\"\", making the results easier to analyze. This technique is applied to three design examples: a phone model optimized at a single frequency, a small planar monopole optimized for dual-band operation in the GSM-850 and PCS-1900 bands, and a miniaturized microstrip patch antenna. A sample small dual-band planar monopole antenna is fabricated and measured to validate the design process. This greedy search approach can also be used to make improvements to an already existing antenna design.\"","abstract_html":""As the number of wireless devices continues to grow, technical requirements and design constraints are approaching the limits of antenna performance and feature integration. Complex multi-band antennas that must satisfy stringent volumetric constraints are pushing the use of optimization tools to the top of the antenna designer's toolbox. Beyond parametric studies, global optimization algorithms have provided an array of insights into both theory and practical applications. In this thesis, a method of moments (MoM) based greedy best-first search (GBFS) technique for antenna optimization is presented. This novel approach using GBFS is a simple method to design antennas for minimizing the input reflection coefficient at one or multiple frequencies. By meshing the antenna region using MoM and applying a GBFS algorithm, antennas can be ""grown"" to optimize for certain performance specifications. The optimization technique results in designs that are contiguous pieces of metal, without ""islands"", making the results easier to analyze. This technique is applied to three design examples: a phone model optimized at a single frequency, a small planar monopole optimized for dual-band operation in the GSM-850 and PCS-1900 bands, and a miniaturized microstrip patch antenna. A sample small dual-band planar monopole antenna is fabricated and measured to validate the design process. This greedy search approach can also be used to make improvements to an already existing antenna design."","abstract_has_math":false,"creators":["Yuan, Dennis"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Electrical & Computer Engineering","degree_department":null,"school":null,"contributors":["Bernhard, Jennifer T."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-09-29T20:38:17Z","date_published":"2015-09-29T20:38:17Z","updated_at":"2026-07-22T22:26:31Z","subjects":["antenna","optimization","search algorithm","input impedance"],"languages":["en"],"rights":["Copyright 2015 Dennis Yuan"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/88020","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Bernhard, Jennifer T."]},{"key":"dc:creator","label":"Author","values":["Yuan, Dennis"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-09-29T20:38:17Z","2015-08","2015-07-14","2015-8"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Computer Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["antenna","optimization","search algorithm","input impedance"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2015 Dennis Yuan"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/88020"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["\"As the number of wireless devices continues to grow, technical requirements and design constraints are approaching the limits of antenna performance and feature integration. Complex multi-band antennas that must satisfy stringent volumetric constraints are pushing the use of optimization tools to the top of the antenna designer's toolbox. Beyond parametric studies, global optimization algorithms have provided an array of insights into both theory and practical applications. In this thesis, a method of moments (MoM) based greedy best-first search (GBFS) technique for antenna optimization is presented. This novel approach using GBFS is a simple method to design antennas for minimizing the input reflection coefficient at one or multiple frequencies. By meshing the antenna region using MoM and applying a GBFS algorithm, antennas can be \"\"grown\"\" to optimize for certain performance specifications. The optimization technique results in designs that are contiguous pieces of metal, without \"\"islands\"\", making the results easier to analyze. This technique is applied to three design examples: a phone model optimized at a single frequency, a small planar monopole optimized for dual-band operation in the GSM-850 and PCS-1900 bands, and a miniaturized microstrip patch antenna. A sample small dual-band planar monopole antenna is fabricated and measured to validate the design process. This greedy search approach can also be used to make improvements to an already existing antenna design.\"","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2015-09-29 without embargo terms","The student, Dennis Yuan, accepted the attached license on 2015-07-10 at 11:06.","The student, Dennis Yuan, submitted this Thesis for approval on 2015-07-10 at 11:17.","This Thesis was approved for publication on 2015-07-14 at 09:58.","DSpace SAF Submission Ingestion Package generated from Vireo submission #8404 on 2015-09-29 at 13:22:34","Made available in DSpace on 2015-09-29T20:38:17Z (GMT). No. of bitstreams: 2 YUAN-THESIS-2015.pdf: 4088494 bytes, checksum: d9591f6eeb5898319f8495cb83d65a56 (MD5) LICENSE.txt: 4208 bytes, checksum: b9b01f88c99a27e79b021a27f8187c3b (MD5) Previous issue date: 2015-07-14"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Technique for the design of matched antennas using method of moment-based greedy best-first search"]}]}],"canonical_facts":{"dc:contributor":["Bernhard, Jennifer T."],"dc:creator":["Yuan, Dennis"],"dc:date":["2015-09-29T20:38:17Z","2015-08","2015-07-14","2015-8"],"dc:description":["\"As the number of wireless devices continues to grow, technical requirements and design constraints are approaching the limits of antenna performance and feature integration. Complex multi-band antennas that must satisfy stringent volumetric constraints are pushing the use of optimization tools to the top of the antenna designer's toolbox. Beyond parametric studies, global optimization algorithms have provided an array of insights into both theory and practical applications. In this thesis, a method of moments (MoM) based greedy best-first search (GBFS) technique for antenna optimization is presented. This novel approach using GBFS is a simple method to design antennas for minimizing the input reflection coefficient at one or multiple frequencies. By meshing the antenna region using MoM and applying a GBFS algorithm, antennas can be \"\"grown\"\" to optimize for certain performance specifications. The optimization technique results in designs that are contiguous pieces of metal, without \"\"islands\"\", making the results easier to analyze. This technique is applied to three design examples: a phone model optimized at a single frequency, a small planar monopole optimized for dual-band operation in the GSM-850 and PCS-1900 bands, and a miniaturized microstrip patch antenna. A sample small dual-band planar monopole antenna is fabricated and measured to validate the design process. This greedy search approach can also be used to make improvements to an already existing antenna design.\"","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2015-09-29 without embargo terms","The student, Dennis Yuan, accepted the attached license on 2015-07-10 at 11:06.","The student, Dennis Yuan, submitted this Thesis for approval on 2015-07-10 at 11:17.","This Thesis was approved for publication on 2015-07-14 at 09:58.","DSpace SAF Submission Ingestion Package generated from Vireo submission #8404 on 2015-09-29 at 13:22:34","Made available in DSpace on 2015-09-29T20:38:17Z (GMT). No. of bitstreams: 2 YUAN-THESIS-2015.pdf: 4088494 bytes, checksum: d9591f6eeb5898319f8495cb83d65a56 (MD5) LICENSE.txt: 4208 bytes, checksum: b9b01f88c99a27e79b021a27f8187c3b (MD5) Previous issue date: 2015-07-14"],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/2142/88020"],"dc:language":["en"],"dc:rights":["Copyright 2015 Dennis Yuan"],"dc:subject":["antenna","optimization","search algorithm","input impedance"],"dc:title":["Technique for the design of matched antennas using method of moment-based greedy best-first search"],"dc:type":["text"],"thesis:degree_discipline":["Electrical & Computer Engineering"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:26:31Z"}