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

Sensors

Chang-Ki Hong¹  Chi Ho Park³  Joong-hee Han²  Jay Hyoun Kwon² 

[1] Department of Geoinformatics Engineering, Kyungil University, 50 Gamasilgil, Kyeongsan, Gyeongbuk 712-701, Korea; E-Mail:;Department of Geoinformatics, University of Seoul, 163 Seoulsiripdaero, Dongdaemun-gu, Seoul 130-743, Korea; E-Mail:;Division of IoT and Robotics Convergence Research, Daegu Gyeongbuk Institute of Science & Technology, 333 Techno jungang-daero, Hyeonpung-myeon, Dalseong-gun, Dagegu 711-873, Korea; E-Mail:

关键词: global positioning system (GPS);    kinematic acceleration;    position-velocity-acceleration model;   

DOI  :  10.3390/s150716895

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.