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

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    Author
    Shah, Nihar
    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 10^−6 within minutes, while biases with slopes on the order of 10^−7 were identified on the order of one hour. The residuals from RANSAC and TDCP were ultimately able to detect and identify error sources.
    URI
    http://hdl.handle.net/10342/9716
    Subject
    Time-differenced carrier phase, TDCP, Random sample consensus, RANSAC, Global Positioning System, GPS, global navigation satellite system, GNSS, positioning, navigation, and timing, PNT
    Date
    2021-12-03
    Citation:
    APA:
    Shah, Nihar. (December 2021). Using Random Sampling Consensus (RANSAC) to Detect Errors in Global Navigation Satellite Systems (GNSS) Signals and Data (Master's Thesis, East Carolina University). Retrieved from the Scholarship. (http://hdl.handle.net/10342/9716.)

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    MLA:
    Shah, Nihar. Using Random Sampling Consensus (RANSAC) to Detect Errors in Global Navigation Satellite Systems (GNSS) Signals and Data. Master's Thesis. East Carolina University, December 2021. The Scholarship. http://hdl.handle.net/10342/9716. January 31, 2023.
    Chicago:
    Shah, Nihar, “Using Random Sampling Consensus (RANSAC) to Detect Errors in Global Navigation Satellite Systems (GNSS) Signals and Data” (Master's Thesis., East Carolina University, December 2021).
    AMA:
    Shah, Nihar. Using Random Sampling Consensus (RANSAC) to Detect Errors in Global Navigation Satellite Systems (GNSS) Signals and Data [Master's Thesis]. Greenville, NC: East Carolina University; December 2021.
    Collections
    • Master's Theses
    Publisher
    East Carolina University

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