Show simple item record

dc.contributor.authorEl-Mowafy, Ahmed
dc.identifier.citationEl-Mowafy, Ahmed. 2010. Local Statistical Testing in Quality Control of GNSS Observations. Journal of Global Positioning Systems. 9 (1): pp. 12-21.

The paper discusses GNSS statistical-testing methods for detection and identifications of observation outliers at the estimation "current" epoch, defined here as local testing. First, detection methods are discussed including testing the probability distribution (likelihood) of the residuals, testing using dynamic control limits of the range, the mean and standard deviation of the residuals. A method is proposed examining the difference between the mean and the median of the residuals. To identify the satellites with faulty measurements, several methods were investigated, including checking the likelihood of the residuals at the present epoch, and in a time series. A test is presented utilizing the control limits of the residuals' moving range for each satellite. Testing of the proposed methods was carried out using only GPS phase measurements in the kinematic mode. Results show that the proposed methods are efficient for detection and identification of large errors/outliers. However, the performance degrades with error values less than 5 cycles and when using small significance levels.

dc.publisherInternational Association of Chinese Professionals in Global Positioning Systems (CPGPS)
dc.subjectStatistical Testing
dc.subjectQuality Control
dc.titleLocal Statistical Testing in Quality Control of GNSS Observations
dc.typeJournal Article
dcterms.source.titleJournal of Global Positioning Systems
curtin.departmentDepartment of Spatial Sciences
curtin.accessStatusOpen access

Files in this item


This item appears in the following Collection(s)

Show simple item record