{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/88087"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/88087","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Direct position tracking in GPS using vector correlator","abstract":"Traditional GPS receivers track the code and carrier of individual satellite signals and estimate the position and velocity of the receiver using trilateration. Different from this two-step approach, direct maximum likelihood estimation of position has proved to be beneficial in weak signal and multipath environments. In this thesis, an architecture of a direct position tracking loop that maximizes an approximation to the maximum likelihood cost function is presented. The unscented Kalman filter is used for direct position tracking using the vector correlator sum. This technique of maximizing the vector correlation sum proves to be beneficial in certain kinds of multipath environments. Further, the tracking loop architecture is validated using experiments with a software receiver.","abstract_html":"Traditional GPS receivers track the code and carrier of individual satellite signals and estimate the position and velocity of the receiver using trilateration. Different from this two-step approach, direct maximum likelihood estimation of position has proved to be beneficial in weak signal and multipath environments. In this thesis, an architecture of a direct position tracking loop that maximizes an approximation to the maximum likelihood cost function is presented. The unscented Kalman filter is used for direct position tracking using the vector correlator sum. This technique of maximizing the vector correlation sum proves to be beneficial in certain kinds of multipath environments. Further, the tracking loop architecture is validated using experiments with a software receiver.","abstract_has_math":false,"creators":["Ramesh Kumar, Athindran"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Electrical & Computer Engineering","degree_department":null,"school":null,"contributors":["Gao, Grace Xingxin"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-8","date_published":"2015-8","updated_at":"2026-07-22T22:26:31Z","subjects":["Direct position tracking","Vector correlator"],"languages":["en"],"rights":["Copyright 2015 Athindran Ramesh Kumar"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/88087","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Gao, Grace Xingxin"]},{"key":"dc:creator","label":"Author","values":["Ramesh Kumar, Athindran"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-8","2015-09-29T20:38:43Z","2015-08","2015-07-21"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Computer Engineering"]},{"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":["Direct position tracking","Vector correlator"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2015 Athindran Ramesh Kumar"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/88087"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Traditional GPS receivers track the code and carrier of individual satellite signals and estimate the position and velocity of the receiver using trilateration. Different from this two-step approach, direct maximum likelihood estimation of position has proved to be beneficial in weak signal and multipath environments. In this thesis, an architecture of a direct position tracking loop that maximizes an approximation to the maximum likelihood cost function is presented. The unscented Kalman filter is used for direct position tracking using the vector correlator sum. This technique of maximizing the vector correlation sum proves to be beneficial in certain kinds of multipath environments. Further, the tracking loop architecture is validated using experiments with a software receiver.","Submission original under an indefinite embargo labeled 'Open Access'. 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The submission was exported from vireo on 2015-09-29 without embargo terms","The student, Athindran Ramesh Kumar, accepted the attached license on 2015-07-20 at 10:34.","The student, Athindran Ramesh Kumar, submitted this Thesis for approval on 2015-07-20 at 10:45.","This Thesis was approved for publication on 2015-07-21 at 13:30.","DSpace SAF Submission Ingestion Package generated from Vireo submission #8557 on 2015-09-29 at 13:23:13","Made available in DSpace on 2015-09-29T20:38:43Z (GMT). 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