Show simple item record

dc.contributor.authorEl-Mowafy, Ahmed
dc.contributor.authorImparato, Davide
dc.contributor.authorRizos, C.
dc.contributor.authorWang, J.
dc.contributor.authorWang, Kan
dc.date.accessioned2019-06-27T06:12:04Z
dc.date.available2019-06-27T06:12:04Z
dc.date.issued2019
dc.identifier.citationEl-Mowafy, A. and Imparato, D. and Rizos, C. and Wang, J. and Wang, K. 2019. On hypothesis testing in RAIM algorithms: generalized likelihood ratio test, solution separation test and a possible alternative. Measurement Science and Technology. 30 (7): ARTN 075001.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/75696
dc.identifier.doi10.1088/1361-6501/ab1836
dc.description.abstract

Integrity for GNSS-based navigation can be monitored at user level by means of RAIM (receiver autonomous integrity monitoring) algorithms. Most of these algorithms are based on statistical tests that are able to detect and identify outliers or other anomalies in the measurements, and then either exclude suspected measurements from the position solution or forward a warning to the user. In this paper the two statistical tests most commonly used in RAIM algorithms, the generalized likelihood ratio (GLR) test and the solution separation (SS) test, are compared. The main differences between the two tests are pointed out, in general statistical terms and in view of their use in integrity monitoring. As both tests are found not optimal for integrity monitoring, a new test is proposed that targets only the faults that represent a threat to the integrity. Simulation results are shown to substantiate the theoretical findings, and confirm the effectiveness of the new testing procedure.

dc.languageEnglish
dc.publisherIOP PUBLISHING LTD
dc.subjectScience & Technology
dc.subjectTechnology
dc.subjectEngineering, Multidisciplinary
dc.subjectInstruments & Instrumentation
dc.subjectEngineering
dc.subjectRAIM
dc.subjecthypothesis testing
dc.subjectsolution separation
dc.subjectintegrity monitoring
dc.subjectGNSS
dc.subjectrobust positioning
dc.subjectmultiple failures
dc.titleOn hypothesis testing in RAIM algorithms: generalized likelihood ratio test, solution separation test and a possible alternative
dc.typeJournal Article
dcterms.source.volume30
dcterms.source.number7
dcterms.source.issn0957-0233
dcterms.source.titleMeasurement Science and Technology
dc.date.updated2019-06-27T06:12:04Z
curtin.departmentSchool of Earth and Planetary Sciences (EPS)
curtin.accessStatusOpen access
curtin.facultyFaculty of Science and Engineering
curtin.contributor.orcidEl-Mowafy, Ahmed [0000-0001-7060-4123]
curtin.identifier.article-numberARTN 075001
dcterms.source.eissn1361-6501
curtin.contributor.scopusauthoridEl-Mowafy, Ahmed [7004059531]


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record