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Using Random Sampling Consensus (RANSAC) to Detect Errors in Global Navigation Satellite Systems (GNSS) Signals and Data

dc.access.optionOpen Access
dc.contributor.advisorZhu, Zhen
dc.contributor.authorShah, Nihar
dc.contributor.committeeMemberWasklewicz, Thad
dc.contributor.committeeMemberRyan, Teresa
dc.contributor.departmentEngineering
dc.date.accessioned2022-02-10T14:57:58Z
dc.date.available2022-02-10T14:57:58Z
dc.date.created2021-12
dc.date.issued2021-12-03
dc.date.submittedDecember 2021
dc.date.updated2022-02-08T15:32:28Z
dc.degree.departmentEngineering
dc.degree.disciplineMS-Mechanical Engineering
dc.degree.grantorEast Carolina University
dc.degree.levelMasters
dc.degree.nameM.S.
dc.description.abstractA positioning, navigation, and timing (PNT) signal can be used to estimate a user's position at an identified time. A global navigation satellite system (GNSS) uses the PNT signal to provide satellite-based navigation. Advanced receivers can track multiple GNSS constellations simultaneously. In order to have a robust and accurate solution, a user needs to detect any faulty measurements and data, and identify which satellite provided them so that faulty satellite can be excluded from a GNSS solution. Differencing techniques, such as time-differenced carrier phase (TDCP), provide for error reduction. The random sample consensus (RANSAC) method allows for the smoothing of data, even when there are a lot of gross errors present in the data set. The residuals from RANSAC and TDCP were studied to determine if they can be used to detect and identify error sources. A downsampling and thresholding method was able to identify first-order biases with slopes on the order of 10̄ ⁶ within minutes, while biases with slopes on the order of 10̄ ⁷ were identified on the order of one hour. The residuals from RANSAC and TDCP were ultimately able to detect and identify error sources.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10342/9716
dc.language.isoen
dc.publisherEast Carolina University
dc.subjectTime-differenced carrier phase
dc.subjectRandom sample consensus
dc.subjectglobal navigation satellite system
dc.subjectpositioning, navigation, and timing
dc.subject.lcshGlobal Positioning System--Data processing
dc.subject.lcshProblem solving
dc.subject.lcshArtificial satellites in navigation
dc.titleUsing Random Sampling Consensus (RANSAC) to Detect Errors in Global Navigation Satellite Systems (GNSS) Signals and Data
dc.typeMaster's Thesis
dc.type.materialtext

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