Journal
SENSORS
Volume 15, Issue 7, Pages 16895-16909Publisher
MDPI AG
DOI: 10.3390/s150716895
Keywords
global positioning system (GPS); kinematic acceleration; position-velocity-acceleration model
Funding
- DGIST R&D Program of the Ministry of Science, ICT & Future Planning of Korea [15-IT-01]
- Ministry of Science, ICT & Future Planning, Republic of Korea [15-IT-01] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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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.
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