Sea Level Estimation Based on GNSS Dual-Frequency Carrier Phase Linear Combinations and SNR. Wang, N., Xu, T., Gao, F., & Xu, G. 10(3):470. Number: 3
Sea Level Estimation Based on GNSS Dual-Frequency Carrier Phase Linear Combinations and SNR [link]Paper  doi  abstract   bibtex   
Ground-based GNSS-R (global navigation satellite system reflectometry) can provide the absolute vertical distance from a GNSS antenna to the reflective surface of the ocean in a common height reference frame, given that vertical crustal motion at a GNSS station can be determined using direct GNSS signals. This technique offers the advantage of enabling ground-based sea level measurements to be more accurately determined compared with traditional tide gauges. Sea level changes can be retrieved from multipath effects on GNSS, which is caused by interference of the GNSS L-band microwave signals (directly from satellites) with reflections from the environment that occur before reaching the antenna. Most of the GNSS observation types, such as pseudo-range, carrier-phase and signal-to-noise ratio (SNR), suffer from this multipath effect. In this paper, sea level altimetry determinations are presented for the first time based on geometry-free linear combinations of the carrier phase at low elevation angles from a fixed global positioning system (GPS) station. The precision of the altimetry solutions are similar to those derived from GNSS SNR data. There are different types of observation and reflector height retrieval methods used in the data processing, and to analyze the performance of the different methods, five sea level determination strategies are adopted. The solutions from the five strategies are compared with tide gauge measurements near the GPS station, and the results show that sea level changes determined from GPS SNR and carrier phase combinations for the five strategies show good agreement (correlation coefficient of 0.97–0.98 and root-mean-square error values of <0.2 m).
@article{wang_sea_2018,
	title = {Sea Level Estimation Based on {GNSS} Dual-Frequency Carrier Phase Linear Combinations and {SNR}},
	volume = {10},
	rights = {http://creativecommons.org/licenses/by/3.0/},
	url = {https://www.mdpi.com/2072-4292/10/3/470},
	doi = {10.3390/rs10030470},
	abstract = {Ground-based {GNSS}-R (global navigation satellite system reflectometry) can provide the absolute vertical distance from a {GNSS} antenna to the reflective surface of the ocean in a common height reference frame, given that vertical crustal motion at a {GNSS} station can be determined using direct {GNSS} signals. This technique offers the advantage of enabling ground-based sea level measurements to be more accurately determined compared with traditional tide gauges. Sea level changes can be retrieved from multipath effects on {GNSS}, which is caused by interference of the {GNSS} L-band microwave signals (directly from satellites) with reflections from the environment that occur before reaching the antenna. Most of the {GNSS} observation types, such as pseudo-range, carrier-phase and signal-to-noise ratio ({SNR}), suffer from this multipath effect. In this paper, sea level altimetry determinations are presented for the first time based on geometry-free linear combinations of the carrier phase at low elevation angles from a fixed global positioning system ({GPS}) station. The precision of the altimetry solutions are similar to those derived from {GNSS} {SNR} data. There are different types of observation and reflector height retrieval methods used in the data processing, and to analyze the performance of the different methods, five sea level determination strategies are adopted. The solutions from the five strategies are compared with tide gauge measurements near the {GPS} station, and the results show that sea level changes determined from {GPS} {SNR} and carrier phase combinations for the five strategies show good agreement (correlation coefficient of 0.97–0.98 and root-mean-square error values of \&lt;0.2 m).},
	pages = {470},
	number = {3},
	journaltitle = {Remote Sensing},
	author = {Wang, Nazi and Xu, Tianhe and Gao, Fan and Xu, Guochang},
	urldate = {2020-01-27},
	date = {2018-03},
	langid = {english},
	note = {Number: 3},
	keywords = {tide gauge, {SNR}, sea level, carrier phase geometry-free linear combinations, {GNSS} reflectometry}
}

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