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Medium to Long Range Kinematic GPS Positioning with Position-Velocity-Acceleration Model Using Multiple Reference

Chang-Ki Hong1, Chi Ho Park2, Joong-hee Han3

  • 1Department of Geoinformatics Engineering, Kyungil University, 50 Gamasilgil, Kyeongsan, Gyeongbuk 712-701, Korea. ckhong@kiu.ac.kr.

Sensors (Basel, Switzerland)
|July 18, 2015
PubMed
Summary

Precise kinematic global positioning system (GPS) algorithms were developed for medium to large networks, improving accuracy by modeling atmospheric delays and using a position-velocity-acceleration model for reliable positioning and airborne gravimetry.

Keywords:
global positioning system (GPS)kinematic accelerationposition-velocity-acceleration model

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Area of Science:

  • Geodesy and Geomatics
  • Satellite Navigation Systems

Background:

  • Precise kinematic global positioning systems (GPS) in medium to large networks require accurate modeling of tropospheric and ionospheric delays.
  • Multiple reference stations enhance the reliability of GPS solutions.

Purpose of the Study:

  • Develop advanced GPS kinematic positioning algorithms for medium to large-scale networks.
  • Enable precise positioning and kinematic acceleration estimation, applicable to airborne gravimetry.

Main Methods:

  • Implemented GPS kinematic positioning algorithms based on a position-velocity-acceleration model.
  • Utilized Kalman filter for algorithm implementation.
  • Applied algorithms to in situ airborne GPS data.

Main Results:

  • Achieved reliable and comparable solutions for both position and kinematic acceleration.
  • Validated algorithm performance against reference values.
  • Demonstrated algorithm efficacy even when near-constant velocity assumption is not met.

Conclusions:

  • The developed algorithms provide precise kinematic GPS positioning in medium to large networks.
  • The position-velocity-acceleration model and Kalman filter integration enhance reliability and enable new applications like airborne gravimetry.