Medium to long range kinematic GPS positioning with position-velocity-acceleration model using multiple reference stations

Chang Ki Hong, Chi Ho Park, Joong Hee Han, Jay Hyoun Kwon

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

In order to obtain precise kinematic global positioning systems (GPS) in medium to large scale networks, the atmospheric effects from tropospheric and ionospheric delays need to be properly modeled and estimated. It is also preferable to use multiple reference stations to improve the reliability of the solutions. In this study, GPS kinematic positioning algorithms are developed for the medium to large-scale network based on the position-velocity-acceleration model. Hence, the algorithm can perform even in cases where the near-constant velocity assumption does not hold. In addition, the estimated kinematic accelerations can be used for the airborne gravimetry. The proposed algorithms are implemented using Kalman filter and are applied to the in situ airborne GPS data. The performance of the proposed algorithms is validated by analyzing and comparing the results with those from reference values. The results show that reliable and comparable solutions in both position and kinematic acceleration levels can be obtained using the proposed algorithms.

Original languageEnglish
Pages (from-to)16895-16909
Number of pages15
JournalSensors
Volume15
Issue number7
DOIs
StatePublished - 13 Jul 2015

Keywords

  • Global positioning system (GPS)
  • Kinematic acceleration
  • Position-velocity-acceleration model

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