Abstract
GOCE satellite gravity gradiometry (SGG) data are strongly autocorrelated within the various tensor components. Consideration of these correlations in the least-squares adjustment for gravity field determination can be carried out by digital decorrelation filters. Due to the complexity of the correlation pattern the used decorrelation filters consist of a cascade of individual filters. In this contribution some of the properties of these filters and their application to GOCE SGG data decorrelation will be presented.
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References
Brockmann JM, Kargoll B, Krasbutter I, Schuh W-D, Wermuth M (2010) GOCE data analysis: from calibrated measurements to the global Earth gravity field. In: Flechtner F, Gruber T, Güntner A, Mandea M, Rothacher M, Schöne T, Wickert J (eds) System Earth via Geodetic-Geophysical space techniques, advanced technologies in Earth sciences. Springer, Berlin, pp 213–229
Hamming RW (1998) Digital Filters, 3rd edn. Dover Publications, Mineola, New York
Klees R, Ditmar P, Broersen P (2003) How to handle colored observations noise in large least-squares problems. J Geod 76(11–12):629–640
Krasbutter I (2009) Dekorrelation und Daten-TÃœV der GOCE-Residuen. Diploma thesis, Institute of Geodesy and Geoinformation, University of Bonn, Germany
Krasbutter I, Brockmann JM, Kargoll B, Schuh W-D (2010) Stochastic model refinements for GOCE gradiometry data. Geotechnologien Science Report, No. 17, 70–76
Oppenheim AV, Schafer RW (1999) Zeitdiskrete Signalverarbeitung, 3rd edn. Oldenbourg, Munich, Vienna
Pail R, Metzler B, Lackner B, Preimesberger T, Höck E, Schuh W-D, Alkathib H, Boxhammer C, Siemes C, Wermuth M (2006) GOCE gravity field analysis in the framework of HPF: operational software system and simulation results. In: 3. GOCE user workshop. ESA, SP-627, ISBN 92-9092-938-3, Frascati
Pail R, Bruinsma S, Migliaccio F, Förste C, Goiginger H, Schuh W-D, Höck E, Reguzzoni M, Brockmann JM, Abrikosov O, Veicherts M, Fecher T, Mayrhofer R, Krasbutter I, Sansò F, Tscherning CC (2011) First GOCE gravity field models derived by three different approaches. J Geod 85(11):819–843
Schuh W-D (1996) Tailored numerical solution strategies for the global determination of the Earth’s gravity field. vol 81, Mitteilungen der geodätischen Institute der Technischen Universität Graz, TU Graz
Schuh W-D, Brockmann JM, Kargoll B, Krasbutter I (2010) Adaptive optimization of GOCE gravity field modeling. In: Münster G, Wolf D, Kremer M (eds) NIC Symposium 2010, vol 3, IAS Series Jülich, Germany, pp 313–320
Siemes C (2008) Digital filtering algorithms for decorrelation within large least squares problems. PhD thesis, Institute of Geodesy and Geoinformation, University of Bonn. http://hss.ulb.uni-bonn.de/2008/1374/1374.htm
Widrow B, Glover JR, McCool JM, Kaunitz J, Williams CS, Hearn RH, Zeidler JR, Dong E, Goodlin RC (1975) Adaptive noise cancelling: principles and applications. Proc IEEE 63(12):1692–1716
Acknowledgments
This work was financially supported by the BMBF Geotechnologien program REAL GOCE and the ESA GOCE HPF contract No. 18308/04/NL/MM. The computations were performed on the JUROPA supercomputer in Juelich. The computing time was granted by the John von Neumann Institute for Computing (project HBN15).
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Krasbutter, I., Brockmann, J.M., Kargoll, B., Schuh, WD. (2014). Adjustment of Digital Filters for Decorrelation of GOCE SGG Data. In: Flechtner, F., Sneeuw, N., Schuh, WD. (eds) Observation of the System Earth from Space - CHAMP, GRACE, GOCE and future missions. Advanced Technologies in Earth Sciences. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32135-1_14
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