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Error modeling for differential gps. m.s. thesis - mit, 12 may 1995
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Blerman, Gregory S. |
| Copyright Year | 1995 |
| Description | Differential Global Positioning System (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 error 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 nonlinear curve-fitting is used to find the parameters of a first order Markov process that models the average errors from 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. The model's time correlation constant is 3847.1 seconds (1.07 hours) for the mean square error. The distance correlation constant is 122.8 kilometers. The total process variance for the DGPS model is 3.73 sq meters. |
| File Size | 3085263 |
| Page Count | 99 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19950022295 |
| Archival Resource Key | ark:/13960/t1bk69b6d |
| Language | English |
| Publisher Date | 1995-05-12 |
| Access Restriction | Open |
| Subject Keyword | Aircraft Communications And Navigation Mean Square Values Error Analysis Global Positioning System Error Functions Markov Processes Time Constant Curve Fitting Position Errors Time Lag Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Thesis |
