Enhancing GNSS RTK Solutions with Random Sample Consensus

dc.access.option	Open Access
dc.contributor.advisor	Zhu, Zhen
dc.contributor.author	Krebs, Angela
dc.contributor.committeeMember	Filho, Faete
dc.contributor.committeeMember	Wang, George
dc.contributor.department	Engineering
dc.date.accessioned	2023-02-10T18:23:52Z
dc.date.available	2023-02-10T18:23:52Z
dc.date.created	2022-07
dc.date.issued	2022-07-12
dc.date.submitted	July 2022
dc.date.updated	2023-01-31T21:26:57Z
dc.degree.department	Engineering
dc.degree.discipline	MS-Mechanical Engineering
dc.degree.grantor	East Carolina University
dc.degree.level	Masters
dc.degree.name	M.S.
dc.description.abstract	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.
dc.format.mimetype	application/pdf
dc.identifier.uri	http://hdl.handle.net/10342/12253
dc.language.iso	en
dc.publisher	East Carolina University
dc.subject	GNSS
dc.subject	RTK
dc.subject	RANSAC
dc.title	Enhancing GNSS RTK Solutions with Random Sample Consensus
dc.type	Master's Thesis
dc.type.material	text

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