Enhancing GNSS RTK Solutions with Random Sample Consensus / by Angela Krebs.

Author/creator Krebs, Angela author.
Other author Zhu, Zhen degree supervisor.
Other author East Carolina University. Department of Engineering.
Format Theses and dissertations
Publication[Greenville, N.C.] : [East Carolina University], 2022.
Description1 online resource (157 pages) : illustrations (chiefly color)
Supplemental ContentAccess via ScholarShip
Subjects

Summary Precise positioning with Global Navigation Satellite Systems (GNSS) can be achieved by using the real-time kinematic (RTK) solution. A GNSS RTK solution was improved using an innovative approach based on Random Sample Consensus (RANSAC). RANSAC pre-filters carrier phase measurements based on the inherent consistency among GNSS satellites. This method improves the reliability and accuracy of an RTK system with low-cost receivers and antennas, especially in a GNSS-challenged environment. In this work, the integration of RANSAC and RTK is demonstrated with recorded live GNSS data.
General notePresented to the Faculty of the Department of Engineering
General noteAdvisor: Zhen Zhu
General noteTitle from PDF t.p. (viewed February 8, 2024).
Dissertation noteM.S. East Carolina University 2022
Bibliography noteIncludes bibliographical references.
Technical detailsSystem requirements: Adobe Reader.
Technical detailsMode of access: World Wide Web.
Genre/formdissertations.
Genre/formAcademic theses.
Genre/formAcademic theses.
Genre/formThèses et écrits académiques.