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

Hong CK, Park CH, Han JH, Kwon JH - Sensors (Basel) (2015)

Bottom Line: 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.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.

View Article: PubMed Central - PubMed

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

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.

No MeSH data available.


Ground track of aircraft and locations of CORS.
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sensors-15-16895-f001: Ground track of aircraft and locations of CORS.

Mentions: An airborne gravity survey was conducted in South Korea to develop a new geoid model in 2009. A Cessna Grand Caravan was used for the survey and it was flown with the help of autopilot at a constant altitude, i.e., 10,000 feet, in order to get as smooth a flight as possible. The GPS data were collected from both the GPS receiver on board and six Continuously Operating Reference Station (CORS) with 1 s data interval. Figure 1 shows one of the trajectories of aircraft (blue line) and the locations of reference CORS used to demonstrate the proposed algorithm. The trajectories of the aircraft started and ended at the Gimpo (GIMP) airport and the total length of the aircraft trajectory is about 1200 km.


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

Hong CK, Park CH, Han JH, Kwon JH - Sensors (Basel) (2015)

Ground track of aircraft and locations of CORS.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4541913&req=5

sensors-15-16895-f001: Ground track of aircraft and locations of CORS.
Mentions: An airborne gravity survey was conducted in South Korea to develop a new geoid model in 2009. A Cessna Grand Caravan was used for the survey and it was flown with the help of autopilot at a constant altitude, i.e., 10,000 feet, in order to get as smooth a flight as possible. The GPS data were collected from both the GPS receiver on board and six Continuously Operating Reference Station (CORS) with 1 s data interval. Figure 1 shows one of the trajectories of aircraft (blue line) and the locations of reference CORS used to demonstrate the proposed algorithm. The trajectories of the aircraft started and ended at the Gimpo (GIMP) airport and the total length of the aircraft trajectory is about 1200 km.

Bottom Line: 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.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.

View Article: PubMed Central - PubMed

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

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.

No MeSH data available.