{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/106220"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/106220","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Actively exploiting propagation delay for acoustic systems","abstract":"\"Propagation delay refers to the length of time it takes for a signal to travel from point A to point B. Many existing systems, including Global Positioning System (GPS) localization, vehicular imaging, and microphone array beamforming, have taken advantage of propagation delay. This dissertation revisits different properties of propagation delay to enable new acoustic techniques and applications. For instance: (1) We leverage the propagation delay difference between two very different frequencies -- radio frequency (RF), and acoustics -- to improve active noise cancellation. By \"\"piggybacking\"\" sound over RF, our proposed system is able to compute anti-noise signals more precisely, and ultimately attain better cancellation performance. (2) We develop solutions that exploit the propagation delays of multipath echoes to localize an indoor human speaker. By aligning the arrivals of the voice signal at different times, we compute user location within an optimization framework, serving as a valuable context for smart voice assistants like Amazon Echo and Google Home. (3) We design 3D directional sound by actively synthesizing different propagation delays at two ears using earphones. We develop algorithms that accurately track the 3D orientation of the head, a key enabler for designing 3D acoustics. In general, this dissertation shows that while propagation delay has been studied for a long time and for many applications, there is still opportunity for new techniques and systems, by carefully looking at different properties of the propagation delay, across frequencies, time, and space.\"","abstract_html":""Propagation delay refers to the length of time it takes for a signal to travel from point A to point B. Many existing systems, including Global Positioning System (GPS) localization, vehicular imaging, and microphone array beamforming, have taken advantage of propagation delay. This dissertation revisits different properties of propagation delay to enable new acoustic techniques and applications. For instance: (1) We leverage the propagation delay difference between two very different frequencies -- radio frequency (RF), and acoustics -- to improve active noise cancellation. By ""piggybacking"" sound over RF, our proposed system is able to compute anti-noise signals more precisely, and ultimately attain better cancellation performance. (2) We develop solutions that exploit the propagation delays of multipath echoes to localize an indoor human speaker. By aligning the arrivals of the voice signal at different times, we compute user location within an optimization framework, serving as a valuable context for smart voice assistants like Amazon Echo and Google Home. (3) We design 3D directional sound by actively synthesizing different propagation delays at two ears using earphones. We develop algorithms that accurately track the 3D orientation of the head, a key enabler for designing 3D acoustics. In general, this dissertation shows that while propagation delay has been studied for a long time and for many applications, there is still opportunity for new techniques and systems, by carefully looking at different properties of the propagation delay, across frequencies, time, and space."","abstract_has_math":false,"creators":["Shen, Sheng"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Electrical & Computer Engr","degree_department":null,"school":null,"contributors":["Choudhury, Romit Roy","Nahrstedt, Klara","Srikant, Rayadurgam","Hassanieh, Haitham"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2020,"date_issued":"2020-03-02T21:58:18Z","date_published":"2020-03-02T21:58:18Z","updated_at":"2026-07-22T22:24:45Z","subjects":["Earphone","Propagation delay","Acoustics","Hearables","Binaural","IMU","Motion tracking","Dead reckoning","Sensor fusion","Orientation","Location","Magnetometer","Accelerometer","Gyroscope","Noise cancellation","Internet of Things","Wearables","Edge computing","Adaptive filter","Smart home","Voice assistant","Amazon Alexa","Voice recognition","Microphone array"],"languages":["en"],"rights":["Copyright 2019 Sheng Shen"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/106220","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Choudhury, Romit Roy","Nahrstedt, Klara","Srikant, Rayadurgam","Hassanieh, Haitham"]},{"key":"dc:creator","label":"Author","values":["Shen, Sheng"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2020-03-02T21:58:18Z","2019-11-26","2019-12"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Computer Engr"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"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":["Earphone","Propagation delay","Acoustics","Hearables","Binaural","IMU","Motion tracking","Dead reckoning","Sensor fusion","Orientation","Location","Magnetometer","Accelerometer","Gyroscope","Noise cancellation","Internet of Things","Wearables","Edge computing","Adaptive filter","Smart home","Voice assistant","Amazon Alexa","Voice recognition","Microphone array"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2019 Sheng Shen"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/106220"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["\"Propagation delay refers to the length of time it takes for a signal to travel from point A to point B. Many existing systems, including Global Positioning System (GPS) localization, vehicular imaging, and microphone array beamforming, have taken advantage of propagation delay. This dissertation revisits different properties of propagation delay to enable new acoustic techniques and applications. For instance: (1) We leverage the propagation delay difference between two very different frequencies -- radio frequency (RF), and acoustics -- to improve active noise cancellation. By \"\"piggybacking\"\" sound over RF, our proposed system is able to compute anti-noise signals more precisely, and ultimately attain better cancellation performance. (2) We develop solutions that exploit the propagation delays of multipath echoes to localize an indoor human speaker. By aligning the arrivals of the voice signal at different times, we compute user location within an optimization framework, serving as a valuable context for smart voice assistants like Amazon Echo and Google Home. (3) We design 3D directional sound by actively synthesizing different propagation delays at two ears using earphones. We develop algorithms that accurately track the 3D orientation of the head, a key enabler for designing 3D acoustics. In general, this dissertation shows that while propagation delay has been studied for a long time and for many applications, there is still opportunity for new techniques and systems, by carefully looking at different properties of the propagation delay, across frequencies, time, and space.\"","Submission original under an indefinite embargo labeled 'Open Access'. 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This dissertation revisits different properties of propagation delay to enable new acoustic techniques and applications. For instance: (1) We leverage the propagation delay difference between two very different frequencies -- radio frequency (RF), and acoustics -- to improve active noise cancellation. By \"\"piggybacking\"\" sound over RF, our proposed system is able to compute anti-noise signals more precisely, and ultimately attain better cancellation performance. (2) We develop solutions that exploit the propagation delays of multipath echoes to localize an indoor human speaker. By aligning the arrivals of the voice signal at different times, we compute user location within an optimization framework, serving as a valuable context for smart voice assistants like Amazon Echo and Google Home. (3) We design 3D directional sound by actively synthesizing different propagation delays at two ears using earphones. We develop algorithms that accurately track the 3D orientation of the head, a key enabler for designing 3D acoustics. In general, this dissertation shows that while propagation delay has been studied for a long time and for many applications, there is still opportunity for new techniques and systems, by carefully looking at different properties of the propagation delay, across frequencies, time, and space.\"","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2020-02-28 without embargo terms","The student, Sheng Shen, accepted the attached license on 2019-11-26 at 04:13.","The student, Sheng Shen, submitted this Dissertation for approval on 2019-11-26 at 04:24.","This Dissertation was approved for publication on 2019-11-26 at 14:34.","DSpace SAF Submission Ingestion Package generated from Vireo submission #14620 on 2020-02-28 at 17:14:27","Made available in DSpace on 2020-03-02T21:58:18Z (GMT). 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