Semester
Summer
Date of Graduation
2022
Document Type
Thesis
Degree Type
MS
College
Statler College of Engineering and Mineral Resources
Department
Mechanical and Aerospace Engineering
Committee Chair
Jason Gross
Committee Co-Chair
Mario Perhinschi
Committee Member
Mario Perhinschi
Committee Member
Guilherme Pereira
Abstract
Precise Point Positioning (PPP) technique can offer position solutions with centimeter-level accuracy by fusing precise satellite orbits and clocks with un-differenced, dual-frequency, pseudo-range, and carrier-phase observables. PPP presents a compelling alternative to Differential Global Positioning Systems, with the benefit that it only requires a single receiver and does not require simultaneous observations from many stations, making it appealing for ongoing research on hydro-graphic survey applications. The National Oceanic and Atmospheric Administration has been working on a buoy system tracked with a Global Positioning Systems receiver and Inertial Measurement Unit sensor using the PPP technique. In the interest of obtaining accurate measurements, this data is post-processed using a software package for position navigation with tight Inertial Navigation System capabilities developed by the Jet Propulsion Laboratory, this is GNSS Inferred Positioning Systems (GIPSYx). GIPSYx Software allows finely controllable user inputs for selectable models and configurations. This flexibility allows fitting the right models for different data sources but requires a tuning process to find suitable configurations. A processing strategy for buoy data with GIPSYx positioning software is described and a method to assess solutions to automatically optimize the process of finding these manually tuned model parameters is provided. Other data sources are considered to generalize this method and prove the concept of optimizing positioning software configurations from output solution evaluation using black-box optimization.
Recommended Citation
Gonzalez Castaneda, Maria A., "Post-Processing Precise Point Positioning Solutions with Parameter Optimization" (2022). Graduate Theses, Dissertations, and Problem Reports. 11357.
https://researchrepository.wvu.edu/etd/11357