Cited 2 time in webofscience Cited 3 time in scopus

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

Title
Medium to Long Range Kinematic GPS Positioning with Position-Velocity-Acceleration Model Using Multiple Reference Stations
Authors
Hong, CK[Hong, Chang-Ki]Park, CH[Park, Chi Ho]Han, JH[Han, Joong-hee]Kwon, JH[Kwon, Jay Hyoun]
DGIST Authors
Park, CH[Park, Chi Ho]
Issue Date
2015-07
Citation
Sensors, 15(7), 16895-16909
Type
Article
Article Type
Article
Keywords
AccelerationAcceleration ModelsAlgorithmsAtmospheric EffectsConstant VelocitiesGlobal Positioning System (GPS)GPS Kinematic PositioningKinematic AccelerationKinematic Global Positioning SystemsKinematic Gps PositioningKinematicsLarge-Scale NetworkMultiple Reference StationPosition-Velocity-Acceleration ModelTracking (Position)Velocity
ISSN
1424-8220
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. © 2015 by the authors; licensee MDPI, Basel, Switzerland.
URI
http://hdl.handle.net/20.500.11750/2879
DOI
10.3390/s150716895
Publisher
MDPI AG
Related Researcher
Files:
There are no files associated with this item.
Collection:
Intelligent Devices and Systems Research Group1. Journal Articles


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