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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.


Differences between the estimated coordinates and reference values.
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sensors-15-16895-f005: Differences between the estimated coordinates and reference values.

Mentions: The next step is to evaluate the quality of the estimated kinematic accelerations once all the solutions are obtained through the proposed algorithm. However, there is a limitation on direct comparison because the reference values for kinematic accelerations are not available. Therefore, the coordinates of aircraft are computed using the same GPS datasets with the commercial software called Waypoint®, and the computed coordinates are used as reference values for the evaluation. Figure 5 presents the differences between the estimated coordinates using the proposed method and the reference values from the Waypoint software. The differences between the two solutions range from about −0.15 m to 0.1 m as shown in Table 3. From the results, one can conclude that the filter based on the proposed algorithm is working properly.


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)

Differences between the estimated coordinates and reference values.
© Copyright Policy
Related In: Results  -  Collection

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

sensors-15-16895-f005: Differences between the estimated coordinates and reference values.
Mentions: The next step is to evaluate the quality of the estimated kinematic accelerations once all the solutions are obtained through the proposed algorithm. However, there is a limitation on direct comparison because the reference values for kinematic accelerations are not available. Therefore, the coordinates of aircraft are computed using the same GPS datasets with the commercial software called Waypoint®, and the computed coordinates are used as reference values for the evaluation. Figure 5 presents the differences between the estimated coordinates using the proposed method and the reference values from the Waypoint software. The differences between the two solutions range from about −0.15 m to 0.1 m as shown in Table 3. From the results, one can conclude that the filter based on the proposed algorithm is working properly.

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.