Adaptive filtering of GOCE-derived gravity gradients of the disturbing potential in the context of the space-wise approach.
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| Title: | Adaptive filtering of GOCE-derived gravity gradients of the disturbing potential in the context of the space-wise approach. |
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| Authors: | Piretzidis, Dimitrios1 dimitrios.piretzidis@ucalgary.ca, Sideris, Michael1 |
| Source: | Journal of Geodesy. Sep2017, Vol. 91 Issue 9, p1069-1086. 18p. |
| Subjects: | Signal processing, Correlation methods (Signal processing), Adaptive signal processing, Physiological effects of gravity, Gravity gradient booms, Monte Carlo method |
| Abstract: | Filtering and signal processing techniques have been widely used in the processing of satellite gravity observations to reduce measurement noise and correlation errors. The parameters and types of filters used depend on the statistical and spectral properties of the signal under investigation. Filtering is usually applied in a non-real-time environment. The present work focuses on the implementation of an adaptive filtering technique to process satellite gravity gradiometry data for gravity field modeling. Adaptive filtering algorithms are commonly used in communication systems, noise and echo cancellation, and biomedical applications. Two independent studies have been performed to introduce adaptive signal processing techniques and test the performance of the least mean-squared (LMS) adaptive algorithm for filtering satellite measurements obtained by the gravity field and steady-state ocean circulation explorer (GOCE) mission. In the first study, a Monte Carlo simulation is performed in order to gain insights about the implementation of the LMS algorithm on data with spectral behavior close to that of real GOCE data. In the second study, the LMS algorithm is implemented on real GOCE data. Experiments are also performed to determine suitable filtering parameters. Only the four accurate components of the full GOCE gravity gradient tensor of the disturbing potential are used. The characteristics of the filtered gravity gradients are examined in the time and spectral domain. The obtained filtered GOCE gravity gradients show an agreement of 63-84 mEötvös (depending on the gravity gradient component), in terms of RMS error, when compared to the gravity gradients derived from the EGM2008 geopotential model. Spectral-domain analysis of the filtered gradients shows that the adaptive filters slightly suppress frequencies in the bandwidth of approximately 10-30 mHz. The limitations of the adaptive LMS algorithm are also discussed. The tested filtering algorithm can be connected to and employed in the first computational steps of the space-wise approach, where a time-wise Wiener filter is applied at the first stage of GOCE gravity gradient filtering. The results of this work can be extended to using other adaptive filtering algorithms, such as the recursive least-squares and recursive least-squares lattice filters. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Geodesy is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Items | – Name: Title Label: Title Group: Ti Data: Adaptive filtering of GOCE-derived gravity gradients of the disturbing potential in the context of the space-wise approach. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Piretzidis%2C+Dimitrios%22">Piretzidis, Dimitrios</searchLink><relatesTo>1</relatesTo><i> dimitrios.piretzidis@ucalgary.ca</i><br /><searchLink fieldCode="AR" term="%22Sideris%2C+Michael%22">Sideris, Michael</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Geodesy%22">Journal of Geodesy</searchLink>. Sep2017, Vol. 91 Issue 9, p1069-1086. 18p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Signal+processing%22">Signal processing</searchLink><br /><searchLink fieldCode="DE" term="%22Correlation+methods+%28Signal+processing%29%22">Correlation methods (Signal processing)</searchLink><br /><searchLink fieldCode="DE" term="%22Adaptive+signal+processing%22">Adaptive signal processing</searchLink><br /><searchLink fieldCode="DE" term="%22Physiological+effects+of+gravity%22">Physiological effects of gravity</searchLink><br /><searchLink fieldCode="DE" term="%22Gravity+gradient+booms%22">Gravity gradient booms</searchLink><br /><searchLink fieldCode="DE" term="%22Monte+Carlo+method%22">Monte Carlo method</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Filtering and signal processing techniques have been widely used in the processing of satellite gravity observations to reduce measurement noise and correlation errors. The parameters and types of filters used depend on the statistical and spectral properties of the signal under investigation. Filtering is usually applied in a non-real-time environment. The present work focuses on the implementation of an adaptive filtering technique to process satellite gravity gradiometry data for gravity field modeling. Adaptive filtering algorithms are commonly used in communication systems, noise and echo cancellation, and biomedical applications. Two independent studies have been performed to introduce adaptive signal processing techniques and test the performance of the least mean-squared (LMS) adaptive algorithm for filtering satellite measurements obtained by the gravity field and steady-state ocean circulation explorer (GOCE) mission. In the first study, a Monte Carlo simulation is performed in order to gain insights about the implementation of the LMS algorithm on data with spectral behavior close to that of real GOCE data. In the second study, the LMS algorithm is implemented on real GOCE data. Experiments are also performed to determine suitable filtering parameters. Only the four accurate components of the full GOCE gravity gradient tensor of the disturbing potential are used. The characteristics of the filtered gravity gradients are examined in the time and spectral domain. The obtained filtered GOCE gravity gradients show an agreement of 63-84 mEötvös (depending on the gravity gradient component), in terms of RMS error, when compared to the gravity gradients derived from the EGM2008 geopotential model. Spectral-domain analysis of the filtered gradients shows that the adaptive filters slightly suppress frequencies in the bandwidth of approximately 10-30 mHz. The limitations of the adaptive LMS algorithm are also discussed. The tested filtering algorithm can be connected to and employed in the first computational steps of the space-wise approach, where a time-wise Wiener filter is applied at the first stage of GOCE gravity gradient filtering. The results of this work can be extended to using other adaptive filtering algorithms, such as the recursive least-squares and recursive least-squares lattice filters. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Geodesy is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00190-017-1010-5 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 1069 Subjects: – SubjectFull: Signal processing Type: general – SubjectFull: Correlation methods (Signal processing) Type: general – SubjectFull: Adaptive signal processing Type: general – SubjectFull: Physiological effects of gravity Type: general – SubjectFull: Gravity gradient booms Type: general – SubjectFull: Monte Carlo method Type: general Titles: – TitleFull: Adaptive filtering of GOCE-derived gravity gradients of the disturbing potential in the context of the space-wise approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Piretzidis, Dimitrios – PersonEntity: Name: NameFull: Sideris, Michael IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2017 Type: published Y: 2017 Identifiers: – Type: issn-print Value: 09497714 Numbering: – Type: volume Value: 91 – Type: issue Value: 9 Titles: – TitleFull: Journal of Geodesy Type: main |
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