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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.


(a) Total zenith delays (TZDs); (b) DD ionospheric delays for SHAO-AIRP baseline.
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sensors-15-16895-f004: (a) Total zenith delays (TZDs); (b) DD ionospheric delays for SHAO-AIRP baseline.

Mentions: The atmospheric effects are estimated in forms of ZWD residuals and DD ionospheric delays, respectively. As explained in Section 2, the ZWD residuals are estimated at each station including the aircraft and then final TZDs are computed by adding the modeled values to the estimated ZWD residuals. Figure 4a shows the final TZDs obtained from the data processing. As shown in Figure 4a, no significant variations of TZDs for the reference stations are observed while abrupt changes in the magnitude of values can be seen in the TZD estimated from the aircraft. This is caused by the fact that the modeled values are highly depended on the altitude of the aircraft. The DD ionospheric delays are also computed for each of the baseline and satellite pairs, and one example of the results for SHAO-AIRP baseline is shown in Figure 4b. Each continuous line corresponds to the DD ionospheric delay for each pair of GPS satellites. The variation of the DD ionospheric delays ranges from about −1 m to 1 m.


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)

(a) Total zenith delays (TZDs); (b) DD ionospheric delays for SHAO-AIRP baseline.
© Copyright Policy
Related In: Results  -  Collection

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

sensors-15-16895-f004: (a) Total zenith delays (TZDs); (b) DD ionospheric delays for SHAO-AIRP baseline.
Mentions: The atmospheric effects are estimated in forms of ZWD residuals and DD ionospheric delays, respectively. As explained in Section 2, the ZWD residuals are estimated at each station including the aircraft and then final TZDs are computed by adding the modeled values to the estimated ZWD residuals. Figure 4a shows the final TZDs obtained from the data processing. As shown in Figure 4a, no significant variations of TZDs for the reference stations are observed while abrupt changes in the magnitude of values can be seen in the TZD estimated from the aircraft. This is caused by the fact that the modeled values are highly depended on the altitude of the aircraft. The DD ionospheric delays are also computed for each of the baseline and satellite pairs, and one example of the results for SHAO-AIRP baseline is shown in Figure 4b. Each continuous line corresponds to the DD ionospheric delay for each pair of GPS satellites. The variation of the DD ionospheric delays ranges from about −1 m to 1 m.

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.