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Inverse modelling of GNSS multipath for sea level measurements - initial results

Joakim Strandberg (Institutionen för rymd- och geovetenskap, Rymdgeodesi och geodynamik) ; Thomas Hobiger (Institutionen för rymd- och geovetenskap, Rymdgeodesi och geodynamik) ; Rüdiger Haas (Institutionen för rymd- och geovetenskap, Rymdgeodesi och geodynamik)
Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS) Volume 2016-November, 1 November 2016, Article number 7729479, Pages 1867-1869 36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016; Beijing; China; 10 - 15 July 2016 Vol. 2016-November (2016), p. 1867-1869.
[Konferensbidrag, refereegranskat]

We present a new method to retrieve sea level from GNSS SNR data that relies upon inverse modelling of the detrended SNR. This method can simultaneously use data from both GPS and GLONASS, and both L1 and L2 frequencies, to improve the solution with respect to prior studies. Results from the GNSS-R installation at Onsala Space Observatory are presented and the retrieved sea level heights are compared with a co-located pressure mareograph. The method is found to give an RMS error of 1.8 cm. The results are also compared against previous implementations of GNSS tide gauges and found to have lower RMS than both the earlier SNR algorithm and also the dual receiver, phase delay method.

Nyckelord: GNSS-R, Inverse modelling, Reflectometry, Sea level, Tide gauge



Denna post skapades 2016-09-26. Senast ändrad 2017-03-31.
CPL Pubid: 242356

 

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Institutioner (Chalmers)

Institutionen för rymd- och geovetenskap, Rymdgeodesi och geodynamik (2010-2017)

Ämnesområden

Oceanografi
Signalbehandling
Fjärranalysteknik

Chalmers infrastruktur

Onsala rymdobservatorium

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Inverse modelling of GNSS multipath signals