{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/97809"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/97809","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"The optimal starting point for antenna array design","abstract":"\"Many of today's wireless systems depend on the increased gain and pattern flexibility offered by phased arrays. While numerous \"\"novel\"\" one-off solutions as well as synthesis methods exist, these often gloss over initial design decisions and problem-specific conditions, limiting their usefulness across different scenarios. Furthermore, arrays are almost always limited to similar antenna elements, and even when dissimilar elements are collocated, many decisions seem to be made empirically or arbitrarily. A different approach is proposed to quantify these initial design steps without the limitation of similar elements. The goal is to start the optimization process with the right seed, enabling designers to have confidence in finding the best antenna configuration for the problem at hand.\"","abstract_html":""Many of today's wireless systems depend on the increased gain and pattern flexibility offered by phased arrays. While numerous ""novel"" one-off solutions as well as synthesis methods exist, these often gloss over initial design decisions and problem-specific conditions, limiting their usefulness across different scenarios. Furthermore, arrays are almost always limited to similar antenna elements, and even when dissimilar elements are collocated, many decisions seem to be made empirically or arbitrarily. A different approach is proposed to quantify these initial design steps without the limitation of similar elements. The goal is to start the optimization process with the right seed, enabling designers to have confidence in finding the best antenna configuration for the problem at hand."","abstract_has_math":false,"creators":["Yang, Cara S."],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S. (master's)","degree_level":null,"degree_discipline":"Electrical & Computer Engr","degree_department":null,"school":null,"contributors":["Bernhard, Jennifer T."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2017,"date_issued":"2017-08-11T18:48:20Z","date_published":"2017-08-11T18:48:20Z","updated_at":"2026-07-22T22:24:34Z","subjects":["Phased arrays","Antenna synthesis"],"languages":["en"],"rights":["Copyright 2016 Cara Yang"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/97809","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":["Yang, Cara S."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2017-08-11T18:48:20Z","2018-12-01T10:15:25Z","2016-12"]},{"key":"dc:type","label":"Dc Type","values":["text","Dissertation / Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Computer Engr"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S. 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The goal is to start the optimization process with the right seed, enabling designers to have confidence in finding the best antenna configuration for the problem at hand.\"","U of I Only Restriction set for Item 102860 on 2017-08-11T18:41:34Z with date 2018-12-01 by hsherid2@illinois.edu.","Submitted by Helen Sheridan (hsherid2@illinois.edu) on 2017-08-11T18:48:20Z No. of bitstreams: 1 YANG-THESIS-2016.pdf: 1300717 bytes, checksum: d843c85a6322c77a38d6d37ecb7e0af8 (MD5)","Made available in DSpace on 2017-08-11T18:48:20Z (GMT). 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While numerous \"\"novel\"\" one-off solutions as well as synthesis methods exist, these often gloss over initial design decisions and problem-specific conditions, limiting their usefulness across different scenarios. Furthermore, arrays are almost always limited to similar antenna elements, and even when dissimilar elements are collocated, many decisions seem to be made empirically or arbitrarily. A different approach is proposed to quantify these initial design steps without the limitation of similar elements. The goal is to start the optimization process with the right seed, enabling designers to have confidence in finding the best antenna configuration for the problem at hand.\"","U of I Only Restriction set for Item 102860 on 2017-08-11T18:41:34Z with date 2018-12-01 by hsherid2@illinois.edu.","Submitted by Helen Sheridan (hsherid2@illinois.edu) on 2017-08-11T18:48:20Z No. of bitstreams: 1 YANG-THESIS-2016.pdf: 1300717 bytes, checksum: d843c85a6322c77a38d6d37ecb7e0af8 (MD5)","Made available in DSpace on 2017-08-11T18:48:20Z (GMT). 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