{"id":{"repo_id":"baylor","oai_identifier":"oai:baylor-ir.tdl.org:2104/13894"},"canonical_url":"https://search.dev.ndltd.org/etd/baylor/oai:baylor-ir.tdl.org:2104/13894","repository":{"repo_id":"baylor","name":"Baylor University","base_url":"https://baylor-ir.tdl.org/server/oai/request"},"display":{"title":"Control and in-situ measurement of adaptive and reconfigurable RF systems.","abstract":"Demand for wireless spectrum is at an all-time high and is anticipated to grow at an exponential rate for the foreseeable future. To meet this demand, systems will need to share limited spectral resources in an effective manner. Adaptive spectrum sharing is enabled by both smart spectral brokering systems that coordinate real-time sharing and reconfigurable hardware that can be optimized to improve performance in different operating conditions, enabling additional flexibility in spectrum assignments. This dissertation examines a spatial-spectral brokering system that can coordinate between active and passive spectral users in a computationally efficient manner to minimize harmful interference while maximizing the number of active users. As a wireless system adapts in response to a new allocation from a spectral brokering system, reconfigurable circuitry will allow the transmitter to re-tune and operate effectively. An algorithm for controlling a tunable power amplifier matching network that can optimize fundamental, second, and third harmonic terminations for improvements in output power or efficiency is shown. Additionally, extension to nine optimization parameters and implementation of impedance tuning into a metacognition-guided system are examined. Optimization of reconfigurable hardware requires a feedback system to evaluate real-time performance changes and assess the array transmission pattern. To enable this, an in-situ RF current and voltage measurement technique is presented that enables optimization algorithms for both single element transmitters and array systems. When combined with knowledge of the transmitting antenna or array, in-situ measurements also enable the prediction of far-field radiation patterns.","abstract_html":"Demand for wireless spectrum is at an all-time high and is anticipated to grow at an exponential rate for the foreseeable future. To meet this demand, systems will need to share limited spectral resources in an effective manner. Adaptive spectrum sharing is enabled by both smart spectral brokering systems that coordinate real-time sharing and reconfigurable hardware that can be optimized to improve performance in different operating conditions, enabling additional flexibility in spectrum assignments. This dissertation examines a spatial-spectral brokering system that can coordinate between active and passive spectral users in a computationally efficient manner to minimize harmful interference while maximizing the number of active users. As a wireless system adapts in response to a new allocation from a spectral brokering system, reconfigurable circuitry will allow the transmitter to re-tune and operate effectively. An algorithm for controlling a tunable power amplifier matching network that can optimize fundamental, second, and third harmonic terminations for improvements in output power or efficiency is shown. Additionally, extension to nine optimization parameters and implementation of impedance tuning into a metacognition-guided system are examined. Optimization of reconfigurable hardware requires a feedback system to evaluate real-time performance changes and assess the array transmission pattern. To enable this, an in-situ RF current and voltage measurement technique is presented that enables optimization algorithms for both single element transmitters and array systems. When combined with knowledge of the transmitting antenna or array, in-situ measurements also enable the prediction of far-field radiation patterns.","abstract_has_math":false,"creators":["Goad, Adam C. (Adam Clarence), 1996-"],"institution":"Baylor University.","degree_name":"Ph.D.","degree_level":"Doctoral","degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Baylis, Charles Passant, 1979-"],"committee_chairs":[],"committee_members":[],"year":2025,"date_issued":"2025-08","date_published":"2025-08","updated_at":"2026-07-24T01:08:19Z","subjects":["Wireless system optimization.","Reconfigurable RF hardware.","In-situ RF measurement."],"languages":["en"],"rights":["Baylor University works are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. Contact libraryquestions@baylor.edu for inquiries about permission."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2104/13894","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Baylis, Charles Passant, 1979-"]},{"key":"dc:creator","label":"Author","values":["Goad, Adam C. 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This dissertation examines a spatial-spectral brokering system that can coordinate between active and passive spectral users in a computationally efficient manner to minimize harmful interference while maximizing the number of active users. As a wireless system adapts in response to a new allocation from a spectral brokering system, reconfigurable circuitry will allow the transmitter to re-tune and operate effectively. An algorithm for controlling a tunable power amplifier matching network that can optimize fundamental, second, and third harmonic terminations for improvements in output power or efficiency is shown. Additionally, extension to nine optimization parameters and implementation of impedance tuning into a metacognition-guided system are examined. Optimization of reconfigurable hardware requires a feedback system to evaluate real-time performance changes and assess the array transmission pattern. To enable this, an in-situ RF current and voltage measurement technique is presented that enables optimization algorithms for both single element transmitters and array systems. When combined with knowledge of the transmitting antenna or array, in-situ measurements also enable the prediction of far-field radiation patterns."]},{"key":"dc:format.mimetype","label":"Dc Format Mimetype","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Control and in-situ measurement of adaptive and reconfigurable RF systems."]}]}],"canonical_facts":{"dc:contributor.advisor":["Baylis, Charles Passant, 1979-"],"dc:creator":["Goad, Adam C. (Adam Clarence), 1996-"],"dc:date.accessioned":["2025-09-19T02:26:27Z"],"dc:date.issued":["2025-08"],"dc:description.abstract":["Demand for wireless spectrum is at an all-time high and is anticipated to grow at an exponential rate for the foreseeable future. To meet this demand, systems will need to share limited spectral resources in an effective manner. Adaptive spectrum sharing is enabled by both smart spectral brokering systems that coordinate real-time sharing and reconfigurable hardware that can be optimized to improve performance in different operating conditions, enabling additional flexibility in spectrum assignments. This dissertation examines a spatial-spectral brokering system that can coordinate between active and passive spectral users in a computationally efficient manner to minimize harmful interference while maximizing the number of active users. As a wireless system adapts in response to a new allocation from a spectral brokering system, reconfigurable circuitry will allow the transmitter to re-tune and operate effectively. An algorithm for controlling a tunable power amplifier matching network that can optimize fundamental, second, and third harmonic terminations for improvements in output power or efficiency is shown. Additionally, extension to nine optimization parameters and implementation of impedance tuning into a metacognition-guided system are examined. Optimization of reconfigurable hardware requires a feedback system to evaluate real-time performance changes and assess the array transmission pattern. To enable this, an in-situ RF current and voltage measurement technique is presented that enables optimization algorithms for both single element transmitters and array systems. When combined with knowledge of the transmitting antenna or array, in-situ measurements also enable the prediction of far-field radiation patterns."],"dc:format.mimetype":["application/pdf"],"dc:identifier.uri":["https://hdl.handle.net/2104/13894"],"dc:language.iso":["en"],"dc:rights":["Baylor University works are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. Contact libraryquestions@baylor.edu for inquiries about permission."],"dc:subject":["Wireless system optimization.","Reconfigurable RF hardware.","In-situ RF measurement."],"dc:title":["Control and in-situ measurement of adaptive and reconfigurable RF systems."],"dc:type":["Thesis"],"thesis:degree_level":["Doctoral"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["Baylor University."]},"updated_at":"2026-07-24T01:08:19Z"}