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.

• Corporate Authors:

  Air Force Institute of Technology

  Wright-Patterson Air Force Base
  Dayton, OH  United States  45433
• Authors:
  • Bierman, G S
• Publication Date: 1995-9-27

Language

• English

Media Info

• Pagination: 100 p.

Subject/Index Terms

• TRT Terms: Differential equations; Error analysis; Global Positioning System; Markov processes
• Subject Areas: Aviation; Operations and Traffic Management;

Filing Info

• Accession Number: 00729950
• Record Type: Publication
• Report/Paper Numbers: AFIT-95-135
• Files: TRIS
• Created Date: Dec 31 1997 12:00AM