Using Random Sampling Consensus (RANSAC) to Detect Errors in Global Navigation Satellite Systems (GNSS) Signals and Data
dc.access.option | Open Access | |
dc.contributor.advisor | Zhu, Zhen | |
dc.contributor.author | Shah, Nihar | |
dc.contributor.committeeMember | Wasklewicz, Thad | |
dc.contributor.committeeMember | Ryan, Teresa | |
dc.contributor.department | Engineering | |
dc.date.accessioned | 2022-02-10T14:57:58Z | |
dc.date.available | 2022-02-10T14:57:58Z | |
dc.date.created | 2021-12 | |
dc.date.issued | 2021-12-03 | |
dc.date.submitted | December 2021 | |
dc.date.updated | 2022-02-08T15:32:28Z | |
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 | A 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.mimetype | application/pdf | |
dc.identifier.uri | http://hdl.handle.net/10342/9716 | |
dc.language.iso | en | |
dc.publisher | East Carolina University | |
dc.subject | Time-differenced carrier phase | |
dc.subject | Random sample consensus | |
dc.subject | global navigation satellite system | |
dc.subject | positioning, navigation, and timing | |
dc.subject.lcsh | Global Positioning System--Data processing | |
dc.subject.lcsh | Problem solving | |
dc.subject.lcsh | Artificial satellites in navigation | |
dc.title | Using Random Sampling Consensus (RANSAC) to Detect Errors in Global Navigation Satellite Systems (GNSS) Signals and Data | |
dc.type | Master's Thesis | |
dc.type.material | text |
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