{"id":{"repo_id":"uic","oai_identifier":"oai:figshare.com:article/30425050"},"canonical_url":"https://search.dev.ndltd.org/etd/uic/oai:figshare.com:article/30425050","repository":{"repo_id":"uic","name":"University of Illinois - Chicago","base_url":"https://api.figshare.com/v2/oai"},"display":{"title":"Advancements in Radar Sensing and Communications through Reconfigurable Intelligent Surfaces","abstract":"Reconfigurable Intelligent Surfaces (RIS) represents a promising technology for reshaping wireless channels, offering a new degree of freedom in the design of next-generation wireless networks. Specifically, RIS has shown significant potential in enabling smart, programmable environments by manipulating wireless propagation to establish robust links for both communication and sensing purposes. This dissertation investigates the optimal design of RIS for target estimation and detection in radar systems. Additionally, it examines the joint enhancement of sum-rate performance and target detection capabilities in integrated sensing and communication (ISAC) frameworks. Both conventional diagonal RIS configurations and the recently proposed beyond diagonal RIS architecture are employed in this study.","abstract_html":"Reconfigurable Intelligent Surfaces (RIS) represents a promising technology for reshaping wireless channels, offering a new degree of freedom in the design of next-generation wireless networks. Specifically, RIS has shown significant potential in enabling smart, programmable environments by manipulating wireless propagation to establish robust links for both communication and sensing purposes. This dissertation investigates the optimal design of RIS for target estimation and detection in radar systems. Additionally, it examines the joint enhancement of sum-rate performance and target detection capabilities in integrated sensing and communication (ISAC) frameworks. Both conventional diagonal RIS configurations and the recently proposed beyond diagonal RIS architecture are employed in this study.","abstract_has_math":false,"creators":["Tara Esmaeilbeig (22481824)"],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2025,"date_issued":"2025-08-01T00:00:00Z","date_published":"2025-08-01T00:00:00Z","updated_at":"2026-07-27T21:34:45Z","subjects":["Signal Processing"],"languages":[],"rights":["In Copyright"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://doi.org/10.25417/uic.30425050.v1","outbound_label":"DOI","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Tara Esmaeilbeig (22481824)"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2025-08-01T00:00:00Z"]},{"key":"dc:relation","label":"Dc Relation","values":["https://figshare.com/articles/thesis/Advancements_in_Radar_Sensing_and_Communications_through_Reconfigurable_Intelligent_Surfaces/30425050"]},{"key":"dc:type","label":"Dc Type","values":["Text","Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Signal Processing"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["In Copyright"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["10.25417/uic.30425050.v1"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Reconfigurable Intelligent Surfaces (RIS) represents a promising technology for reshaping wireless channels, offering a new degree of freedom in the design of next-generation wireless networks. Specifically, RIS has shown significant potential in enabling smart, programmable environments by manipulating wireless propagation to establish robust links for both communication and sensing purposes. This dissertation investigates the optimal design of RIS for target estimation and detection in radar systems. Additionally, it examines the joint enhancement of sum-rate performance and target detection capabilities in integrated sensing and communication (ISAC) frameworks. Both conventional diagonal RIS configurations and the recently proposed beyond diagonal RIS architecture are employed in this study."]},{"key":"dc:title","label":"Title","values":["Advancements in Radar Sensing and Communications through Reconfigurable Intelligent Surfaces"]}]}],"canonical_facts":{"dc:creator":["Tara Esmaeilbeig (22481824)"],"dc:date":["2025-08-01T00:00:00Z"],"dc:description":["Reconfigurable Intelligent Surfaces (RIS) represents a promising technology for reshaping wireless channels, offering a new degree of freedom in the design of next-generation wireless networks. Specifically, RIS has shown significant potential in enabling smart, programmable environments by manipulating wireless propagation to establish robust links for both communication and sensing purposes. This dissertation investigates the optimal design of RIS for target estimation and detection in radar systems. Additionally, it examines the joint enhancement of sum-rate performance and target detection capabilities in integrated sensing and communication (ISAC) frameworks. Both conventional diagonal RIS configurations and the recently proposed beyond diagonal RIS architecture are employed in this study."],"dc:identifier":["10.25417/uic.30425050.v1"],"dc:relation":["https://figshare.com/articles/thesis/Advancements_in_Radar_Sensing_and_Communications_through_Reconfigurable_Intelligent_Surfaces/30425050"],"dc:rights":["In Copyright"],"dc:subject":["Signal Processing"],"dc:title":["Advancements in Radar Sensing and Communications through Reconfigurable Intelligent Surfaces"],"dc:type":["Text","Thesis"]},"updated_at":"2026-07-27T21:34:45Z"}