%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Fund, F.
%A Perosanz, F.
%A Testut, Laurent
%A Loyer, S.
%T An Integer Precise Point Positioning technique for sea surface observations using a GPS buoy
%D 2013
%L fdi:010060849
%G ENG
%J Advances in Space Research
%@ 0273-1177
%K GPS ; Ambiguity fixing ; Tropospheric delays ; Buoy ; Radar gauge
%M ISI:000317878600004
%N 8
%P 1311-1322
%R 10.1016/j.asr.2012.09.028
%U https://www.documentation.ird.fr/hor/fdi:010060849
%> https://www.documentation.ird.fr/intranet/publi/2013/05/010060849.pdf
%V 51
%W Horizon (IRD)
%X GPS data dedicated to sea surface observation are usually processed using differential techniques. Unfortunately, the precision of resulting kinematic positions is baseline-length dependent. So, high precision sea surface observations using differential GPS techniques are limited to coasts, lakes, and rivers. Recent improvements in GPS satellite products (orbits, clocks, and phase biases) make phase ambiguity fixing at the zero difference level achievable and opens up the observation of the sea surface without geographical constraints. This paper recalls the concept of the Integer Precise Point Positioning technique and discusses the precision of GPS buoy positioning. A sequential version of the GINS software has been implemented to achieve single epoch GPS positioning. We used 1 Hz data from a two week GPS campaign conducted in the Kerguelen Islands. A GPS buoy has been moored close to a radar gauge and 90 m away from a permanent GPS station. This infrastructure offers the opportunity to compare both kinematic Integer Precise Point Positioning and classical differential GPS positioning techniques to in situ radar gauge data. We found that Precise Point Positioning results are not significantly biased with respect to radar gauge data and that horizontal time series are consistent with differential processing at the sub-centimetre precision level. Nevertheless, standard deviations of height time series with respect to radar gauge data are typically [4-5] cm. The dominant driver for noise at this level is attributed to errors in tropospheric estimates which propagate into position solutions.
%$ 032 ; 126