2004
DOI: 10.5081/jgps.3.1.302
|View full text |Cite
|
Sign up to set email alerts
|

Kinematic GPS Precise Point Positioning for Sea Level Monitoring with GPS Buoy

Abstract: Abstract. In this paper, the basic precise point positioning model has been reviewed. A recursive least square algorithm that separates the position coordinates and other parameters, such as ambiguities and tropospheric delays, is proposed for kinematic PPP applications. A test was carried out to test the method proposed in this paper, which made use of a GPS buoy equipped with a pressure and a tilt meter to monitor the sea level in Hong Kong. The initial results from kinematic PPP positioning compared with co… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
9
0

Year Published

2009
2009
2022
2022

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 25 publications
(10 citation statements)
references
References 8 publications
1
9
0
Order By: Relevance
“…This accuracy satisfies most positioning needs for a highly varied sea surface. When the IGS rapid product is used for PPP, the RMSE difference is 4 -7 cm in the horizontal component and 11 -18 cm in the vertical, which agrees with the computation provided by Chen et al (2004). When the observed half of the IGS ultrarapid product is used, the RMSE difference is 9 -27 cm in the horizontal component and 23 -44 cm in the vertical.…”
Section: Discussionsupporting
confidence: 73%
See 1 more Smart Citation
“…This accuracy satisfies most positioning needs for a highly varied sea surface. When the IGS rapid product is used for PPP, the RMSE difference is 4 -7 cm in the horizontal component and 11 -18 cm in the vertical, which agrees with the computation provided by Chen et al (2004). When the observed half of the IGS ultrarapid product is used, the RMSE difference is 9 -27 cm in the horizontal component and 23 -44 cm in the vertical.…”
Section: Discussionsupporting
confidence: 73%
“…Because absolute and precise [3D RMS kinematic: < 1 m; static: < 0.1 m (Li et al 2009)] positioning can be obtained with one single receiver, the PPP method has been widely applied to many disciplines of research; for example, Zhang and Andersen (2006) successfully measured the surface ice flow velocity and the tide retrieval of the Amery ice shelf with a GPS using PPP instead of a DGPS method. Chen et al (2004) estimated the coordinates of GPS buoys using precise ephemerides and satellite clock error data of the International GNSS Service (IGS) rapid product, whose latency is 17 hours, with kinematic PPP technique and found that the root mean square error (RMSE) is around 10 -20 cm compared to the positioning solution derived by DGPS. However, there is no independent data to absolutely evaluate a GPS buoy solution like tide gauge records.…”
Section: Introductionmentioning
confidence: 99%
“…The main algorithms and correction models for the GPS PPP have been discussed in many papers (Han et al, 2001;Kouba and Heroux, 2001;Holfmann et al, 2003;Chen et al, 2004) and the most widely used data type is un-differenced ionosphere-free carrier phase measurements, or an ionospherefree combination with carrier phase and code pseudorange measurements. An alternative data type used by some studies is code-phase ionosphere-free combination that aims at accelerating the convergence speed for parameter solutions (Gao and Chen, 2004).…”
Section: Gps Precise Point Positioning For Aerial Triangulationmentioning
confidence: 99%
“…Recently, a few attempts have been made to estimate the instantaneous sea surface height by processing the GPS data from buoys with the precise point positioning technique (PPP) (e.g., Colombo, 2004;Chen et al, 2004;Geng et al, 2010). However, a realtime network and a GPS real-time processing infrastructure would be necessary to provide updated orbit and clock products in-time when PPP is used in tsunami warning systems.…”
Section: Operational Conceptmentioning
confidence: 99%