ERRORS MODELING FOR DIFFERENTIAL GPS
Differential GPS (DGPS) positioning is used to accurately locate a GPS receiver based upon the well-known position of a reference site. In utilizing this technique, several errors sources contribute to position inaccuracy. This thesis investigates the error in DGPS operation and attempts to develop a statistical model for the behavior of this error. The model for DGPS error is developed using GPS data collected by Draper Laboratory. The Marquardt method for non-linear curve-fitting is used to find the parameters of a first order Markov process that models the average errors in the collected data. The results show that a first order Markov process can be used to model the DGPS error as a function of baseline distance and time delay.
Air Force Institute of TechnologyWright-Patterson Air Force Base
Dayton, OH United States 45433
- Bierman, G S
- Publication Date: 1995-9-27
- Pagination: 100 p.
- TRT Terms: Differential equations; Error analysis; Global Positioning System; Markov processes
- Subject Areas: Aviation; Operations and Traffic Management;
- Accession Number: 00729950
- Record Type: Publication
- Report/Paper Numbers: AFIT-95-135
- Files: TRIS
- Created Date: Dec 31 1997 12:00AM