{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/102870"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/102870","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Plasma line generation and spectral estimation from Arecibo Observatory radar data","abstract":"Incoherent scatter radar (ISR) signal spectrum is a statistical measure of Bragg scattered radio waves from thermal fluctuations of the electron density in the ionosphere. The ISR spectrum consists of up- and down-shifted electron plasma lines and a double-humped ion-line component associated with electron density waves with the governing dispersion relations of Langmuir and ion-acoustic waves, respectively. Such ISR spectral measurements can be conducted at the Arecibo Observatory, one of the most important centers in the world for research in radio astronomy, planetary radar and terrestrial aeronomy [Altschuler, 2002]. Although ISR measurements have been routinely taken at Arecibo since the early 1960s, full spectrum ISR measurements including the high-frequency plasma-line components became possible only very recently [Vierinen et al., 2017] as a result of critical recent upgrades in hardware configuration and computing resources. This thesis describes the estimation and analysis of the full Arecibo ISR spectrum using Arecibo line- and Gregorian-feed data collected with Echotec and USRP receivers in September 2016 and processed using GPU-based parallel programming technology. In spectral analysis the “CLEAN” algorithm is used to deconvolve the measured ISR spectrograms from frequency/height mixing caused by the finite pulse length effect. CLEANed spectrograms are subsequently fitted to a Gaussian spectral model for each height to extract an estimate of the plasma-line frequency for each height.","abstract_html":"Incoherent scatter radar (ISR) signal spectrum is a statistical measure of Bragg scattered radio waves from thermal fluctuations of the electron density in the ionosphere. The ISR spectrum consists of up- and down-shifted electron plasma lines and a double-humped ion-line component associated with electron density waves with the governing dispersion relations of Langmuir and ion-acoustic waves, respectively. Such ISR spectral measurements can be conducted at the Arecibo Observatory, one of the most important centers in the world for research in radio astronomy, planetary radar and terrestrial aeronomy [Altschuler, 2002]. Although ISR measurements have been routinely taken at Arecibo since the early 1960s, full spectrum ISR measurements including the high-frequency plasma-line components became possible only very recently [Vierinen et al., 2017] as a result of critical recent upgrades in hardware configuration and computing resources. This thesis describes the estimation and analysis of the full Arecibo ISR spectrum using Arecibo line- and Gregorian-feed data collected with Echotec and USRP receivers in September 2016 and processed using GPU-based parallel programming technology. In spectral analysis the “CLEAN” algorithm is used to deconvolve the measured ISR spectrograms from frequency/height mixing caused by the finite pulse length effect. CLEANed spectrograms are subsequently fitted to a Gaussian spectral model for each height to extract an estimate of the plasma-line frequency for each height.","abstract_has_math":false,"creators":["Yang, Shiyi"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Electrical & Computer Engr","degree_department":null,"school":null,"contributors":["Kudeki, Erhan"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019-02-07T20:44:32Z","date_published":"2019-02-07T20:44:32Z","updated_at":"2026-07-22T22:24:42Z","subjects":["Plasma line, ISR, Arecibo Observatory"],"languages":["en"],"rights":["Copyright 2018 Shiyi Yang"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/102870","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Kudeki, Erhan"]},{"key":"dc:creator","label":"Author","values":["Yang, Shiyi"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2019-02-07T20:44:32Z","2021-02-08T10:15:29Z","2018-12-14","2018-12"]},{"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":["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":["Plasma line, ISR, Arecibo Observatory"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2018 Shiyi Yang"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/102870"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Incoherent scatter radar (ISR) signal spectrum is a statistical measure of Bragg scattered radio waves from thermal fluctuations of the electron density in the ionosphere. The ISR spectrum consists of up- and down-shifted electron plasma lines and a double-humped ion-line component associated with electron density waves with the governing dispersion relations of Langmuir and ion-acoustic waves, respectively. Such ISR spectral measurements can be conducted at the Arecibo Observatory, one of the most important centers in the world for research in radio astronomy, planetary radar and terrestrial aeronomy [Altschuler, 2002]. Although ISR measurements have been routinely taken at Arecibo since the early 1960s, full spectrum ISR measurements including the high-frequency plasma-line components became possible only very recently [Vierinen et al., 2017] as a result of critical recent upgrades in hardware configuration and computing resources. This thesis describes the estimation and analysis of the full Arecibo ISR spectrum using Arecibo line- and Gregorian-feed data collected with Echotec and USRP receivers in September 2016 and processed using GPU-based parallel programming technology. In spectral analysis the “CLEAN” algorithm is used to deconvolve the measured ISR spectrograms from frequency/height mixing caused by the finite pulse length effect. CLEANed spectrograms are subsequently fitted to a Gaussian spectral model for each height to extract an estimate of the plasma-line frequency for each height.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2020-12-01","The student, Shiyi Yang, accepted the attached license on 2018-12-14 at 16:43.","The student, Shiyi Yang, submitted this Thesis for approval on 2018-12-14 at 16:47.","This Thesis was approved for publication on 2018-12-14 at 16:55.","DSpace SAF Submission Ingestion Package generated from Vireo submission #13335 on 2019-02-07 at 14:23:46","Made available in DSpace on 2019-02-07T20:44:32Z (GMT). No. of bitstreams: 2 YANG-THESIS-2018.pdf: 12731878 bytes, checksum: be2c0874f0ed9cba642c39baac28b8ac (MD5) LICENSE.txt: 4207 bytes, checksum: 28915c1cb3579457bf1d39911016b409 (MD5) Previous issue date: 2018-12-14","Embargo set by: Seth Robbins for item 109896 Lift date: 2021-02-07T20:44:35Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","U of I Only Restriction Lifted for Item 109896 on 2021-02-08T10:15:29Z."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Plasma line generation and spectral estimation from Arecibo Observatory radar data"]}]}],"canonical_facts":{"dc:contributor":["Kudeki, Erhan"],"dc:creator":["Yang, Shiyi"],"dc:date":["2019-02-07T20:44:32Z","2021-02-08T10:15:29Z","2018-12-14","2018-12"],"dc:description":["Incoherent scatter radar (ISR) signal spectrum is a statistical measure of Bragg scattered radio waves from thermal fluctuations of the electron density in the ionosphere. The ISR spectrum consists of up- and down-shifted electron plasma lines and a double-humped ion-line component associated with electron density waves with the governing dispersion relations of Langmuir and ion-acoustic waves, respectively. Such ISR spectral measurements can be conducted at the Arecibo Observatory, one of the most important centers in the world for research in radio astronomy, planetary radar and terrestrial aeronomy [Altschuler, 2002]. Although ISR measurements have been routinely taken at Arecibo since the early 1960s, full spectrum ISR measurements including the high-frequency plasma-line components became possible only very recently [Vierinen et al., 2017] as a result of critical recent upgrades in hardware configuration and computing resources. This thesis describes the estimation and analysis of the full Arecibo ISR spectrum using Arecibo line- and Gregorian-feed data collected with Echotec and USRP receivers in September 2016 and processed using GPU-based parallel programming technology. In spectral analysis the “CLEAN” algorithm is used to deconvolve the measured ISR spectrograms from frequency/height mixing caused by the finite pulse length effect. CLEANed spectrograms are subsequently fitted to a Gaussian spectral model for each height to extract an estimate of the plasma-line frequency for each height.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2020-12-01","The student, Shiyi Yang, accepted the attached license on 2018-12-14 at 16:43.","The student, Shiyi Yang, submitted this Thesis for approval on 2018-12-14 at 16:47.","This Thesis was approved for publication on 2018-12-14 at 16:55.","DSpace SAF Submission Ingestion Package generated from Vireo submission #13335 on 2019-02-07 at 14:23:46","Made available in DSpace on 2019-02-07T20:44:32Z (GMT). No. of bitstreams: 2 YANG-THESIS-2018.pdf: 12731878 bytes, checksum: be2c0874f0ed9cba642c39baac28b8ac (MD5) LICENSE.txt: 4207 bytes, checksum: 28915c1cb3579457bf1d39911016b409 (MD5) Previous issue date: 2018-12-14","Embargo set by: Seth Robbins for item 109896 Lift date: 2021-02-07T20:44:35Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","U of I Only Restriction Lifted for Item 109896 on 2021-02-08T10:15:29Z."],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/2142/102870"],"dc:language":["en"],"dc:rights":["Copyright 2018 Shiyi Yang"],"dc:subject":["Plasma line, ISR, Arecibo Observatory"],"dc:title":["Plasma line generation and spectral estimation from Arecibo Observatory radar data"],"dc:type":["text"],"thesis:degree_discipline":["Electrical & Computer Engr"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:42Z"}