DocumentCode
589803
Title
Performance of GNSS-based altimetry using airborne experimental data
Author
Kegen Yu ; Rizos, Chris ; Dempster, A.G.
Author_Institution
Australian Centre for Space Eng. Res. (ACSER), Univ. of New South Wales, Sydney, NSW, Australia
fYear
2012
fDate
10-11 Oct. 2012
Firstpage
1
Lastpage
6
Abstract
This paper focuses on sea surface height (SSH) estimation using GNSS direct and reflected signals observed via an airborne receiver. A power-ratio-based method is presented to compute the relative delay of the reflected signal, which is then used to estimate the SSH. The power ratio is defined as the ratio of the correlation power at the code phase over the peak correlation power. Preliminary results from processing airborne experimental data collected over duration of 1 minute demonstrate that the mean power ratios associated with four satellites are very similar. When such a single constant mean power ratio is used to estimate the relative delay and the SSH, the mean of the SSH estimation errors is 4.5cm and the error standard deviation (STD) is 1.08m in the presence of significant wave height of about 4 metres.
Keywords
height measurement; oceanographic equipment; remote sensing; GNSS direct signal; GNSS reflected signal; GNSS-based altimetry performance; SSH estimation errors; airborne experimental data; airborne receiver; code phase; correlation power; error standard deviation; mean power ratios; peak correlation power; power-ratio-based method; sea surface height; Correlation; Delay; Global Navigation Satellite Systems; Receivers; Satellites; Sea measurements; Sea surface; GNSS direct and reflected signals; airborne experimental data; correlation power ratio; sea surface height estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Reflectometry Using GNSS and Other Signals of Opportunity (GNSS+R), 2012 Workshop on
Conference_Location
West Lafayette, IN
Print_ISBN
978-1-4673-2883-8
Electronic_ISBN
978-1-4673-2884-5
Type
conf
DOI
10.1109/GNSSR.2012.6408261
Filename
6408261
Link To Document