Performance Analysis of a GPS Equipment

  • M. Filomena TeodoroEmail author
  • Fernando M. Gonçalves
  • Anacleto Correia
Part of the Contributions to Statistics book series (CONTRIB.STAT.)


In emerging economies the easiest way to ensure the geodetic support still is the static relative positioning (SRP) using a single reference station. This technique provides surveyors the ability to determine the 3D coordinates of a new point with centimeter-level accuracy. The objective of this work is to evaluate GPS SRP regarding accuracy, as the equivalent of a real time kinematic (RTK) network and to address the practicality of using either a continuously operating reference stations (CORS) or a passive control point for providing accurate positioning control. The precision of an observed 3D relative position between two global navigation satellite systems (GNSS) antennas, and how it depends on the distance between these antennas and on the duration of the observing session, was studied. We analyze the performance of the software for each of the six chosen ranges of length in each of the four scenarios created, considering different intervals of observation time. An intermediate inference level technique (Tamhane and Dunlop, Statistics and data analysis: from elementary to intermediate, Prentice Hall, New Jersey, 2000), an analysis of variance, establishes the evidence of relation between observing time and baseline length.



This work was supported by Portuguese funds through the Center for Computational and Stochastic Mathematics (CEMAT), The Portuguese Foundation for Science and Technology (FCT), University of Lisbon, Portugal, project UID/Multi/04621/2013, and Center of Naval Research (CINAV), Naval Academy, Portuguese Navy, Portugal.


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • M. Filomena Teodoro
    • 1
    • 2
    Email author
  • Fernando M. Gonçalves
    • 3
  • Anacleto Correia
    • 1
  1. 1.CINAV, Center of Naval ResearchNaval AcademyAlmadaPortugal
  2. 2.CEMAT, Center for Computational and Stochastic Mathematics, Instituto Superior TécnicoLisbon UniversityLisboaPortugal
  3. 3.NGI, Nottingham Geospatial InstituteUniversity of NottinghamNottinghamUK

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