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


  • English

Media Info

  • Pagination: 100 p.

Subject/Index Terms

Filing Info

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