Name
Abstract | ||
|---|---|---|
It is a challenge to achieve high accuracy altimetric results using space-based global navigation satellite system reflectometry (GNSS-R). This paper focuses on improving the accuracy of space-based GNSS-R altimetric measurements by considering receiver dynamics in the geometric model. The receiver dynamics has negligible impact on the geometric model of low-platform GNSS-R because the receiver movement is quite small during the time period between receiving direct and reflected signals. However, in the case of space-based GNSS-R, the receiver has much higher dynamics, thus the receiver dynamics cannot be ignored. This paper analyzes the altimetric error caused by the receiver dynamics in space-based GNSS-R. Theoretical studies and simulations were conducted to evaluate the magnitude of the altimetric error caused by receiver dynamics. The results show that the dynamics of a low earth orbit receiver can lead to errors of the order of several meters, depending on the trajectory angle of the receiver. The results using data from the TDS-1 mission conclude that neglecting receiver motion causes an average error of 3.4 m. This agrees with the result obtained from a theoretical analysis. Therefore the geometric model that takes into account receiver dynamics can improve the accuracy of space-based GNSS-R altimetric measurements of the order of a few meters compared to neglecting receiver dynamics. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/jstars.2019.2910544 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Receivers,Delays,Earth,Sea surface,Altimetry,Transmitters,Extraterrestrial measurements | Magnitude (mathematics),Altimeter,Remote sensing,Geometric modeling,Satellite system,GNSS applications,Earth's orbit,Reflectometry,Trajectory,Mathematics | Journal |
Volume | Issue | ISSN |
12 | SP6.0 | 1939-1404 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Changjiang Hu | 1 | 4 | 1.77 |
| Craig R. Benson | 2 | 12 | 5.45 |
| Chris Rizos | 3 | 66 | 10.05 |
| Li Qiao | 4 | 33 | 4.98 |