Evaluation of Different Outlier Detection Methods for GPS Networks
GPS (Global Positioning System) devices can be used in many applications which require accurate point positioning in geosciences. Accuracy of GPS decreases due to outliers resulted from the errors inherent in GPS observations. Several approaches have been developed to detect outliers in geodetic obs...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2008-11-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/8/11/7344/ |
| _version_ | 1798039530811424768 |
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| author | Oğuz Güngör Yüksel Boz Ertan Gökalp |
| author_facet | Oğuz Güngör Yüksel Boz Ertan Gökalp |
| author_sort | Oğuz Güngör |
| collection | DOAJ |
| description | GPS (Global Positioning System) devices can be used in many applications which require accurate point positioning in geosciences. Accuracy of GPS decreases due to outliers resulted from the errors inherent in GPS observations. Several approaches have been developed to detect outliers in geodetic observations. It is important to determine which method is most effective at distinguishing outliers from normal observations. This paper investigates the behavior of conventional statistical test methods (Data Snooping (DS), Tau and t tests), some robust methods (Andrews’s M-Estimation, Huber’s MEstimation, Tukey’s M-Estimation, Danish Method, Yang-I M-Estimation, Yang-II MEstimation, and fuzzy logic method in detection of outliers for three GPS networks having different characteristics. Test results are evaluated and the performances of different methods are presented quantitatively. |
| first_indexed | 2024-04-11T21:55:10Z |
| format | Article |
| id | doaj.art-c31dbd254e984218b8fc8acd5844884d |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T21:55:10Z |
| publishDate | 2008-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-c31dbd254e984218b8fc8acd5844884d2022-12-22T04:01:07ZengMDPI AGSensors1424-82202008-11-018117344735810.3390/s8117344Evaluation of Different Outlier Detection Methods for GPS NetworksOğuz GüngörYüksel BozErtan GökalpGPS (Global Positioning System) devices can be used in many applications which require accurate point positioning in geosciences. Accuracy of GPS decreases due to outliers resulted from the errors inherent in GPS observations. Several approaches have been developed to detect outliers in geodetic observations. It is important to determine which method is most effective at distinguishing outliers from normal observations. This paper investigates the behavior of conventional statistical test methods (Data Snooping (DS), Tau and t tests), some robust methods (Andrews’s M-Estimation, Huber’s MEstimation, Tukey’s M-Estimation, Danish Method, Yang-I M-Estimation, Yang-II MEstimation, and fuzzy logic method in detection of outliers for three GPS networks having different characteristics. Test results are evaluated and the performances of different methods are presented quantitatively.http://www.mdpi.com/1424-8220/8/11/7344/Robust estimationFuzzy logicGPSStatistical testData SnoopingMembership value |
| spellingShingle | Oğuz Güngör Yüksel Boz Ertan Gökalp Evaluation of Different Outlier Detection Methods for GPS Networks Sensors Robust estimation Fuzzy logic GPS Statistical test Data Snooping Membership value |
| title | Evaluation of Different Outlier Detection Methods for GPS Networks |
| title_full | Evaluation of Different Outlier Detection Methods for GPS Networks |
| title_fullStr | Evaluation of Different Outlier Detection Methods for GPS Networks |
| title_full_unstemmed | Evaluation of Different Outlier Detection Methods for GPS Networks |
| title_short | Evaluation of Different Outlier Detection Methods for GPS Networks |
| title_sort | evaluation of different outlier detection methods for gps networks |
| topic | Robust estimation Fuzzy logic GPS Statistical test Data Snooping Membership value |
| url | http://www.mdpi.com/1424-8220/8/11/7344/ |
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