Show simple item record

dc.contributor.authorLe, A.
dc.contributor.authorTeunissen, Peter
dc.contributor.editorLast, D.
dc.date.accessioned2017-01-30T12:17:13Z
dc.date.available2017-01-30T12:17:13Z
dc.date.created2010-04-26T20:02:50Z
dc.date.issued2006
dc.identifier.citationLe, A.Q. and Teunissen, P.J.G. 2006. Recursive Least-Squares Filtering of Pseudorange Measurements, in Last, D. (ed), Proceedings of the European Navigation Conference (ENC GNSS 2006), May 7 2006. Manchester, England: ECN.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/20057
dc.description.abstract

Code pseudorange measurement noise is one of the major error sources in Precise Point Positioning. A recursive least-squares solution with proper functional and stochastic modelling would help to exploit in addition the ultra high precision of the carrier phase measurement. Analyses of different methods, including phase smoothed, phase connected and phase adjusted pseudorange algorithm, will show that the phase adjusted pseudorange algorithm is statistically optimal. Static and kinematic experiment results also support the conclusion with more than 30% of improvement by going from the phase smoothed to the phase adjusted algorithm.

dc.publisherECN
dc.titleRecursive Least-Squares Filtering of Pseudorange Measurements
dc.typeConference Paper
dcterms.source.titleProceedings of the European Navigation Conference (ENC GNSS 2006)
dcterms.source.seriesProceedings of the European Navigation Conference (ENC GNSS)
dcterms.source.conferenceProceedings of the European Navigation Conference (ENC GNSS 2006)
dcterms.source.conference-start-dateMay 7 2006
dcterms.source.conferencelocationManchester, England
dcterms.source.placeUK
curtin.departmentDepartment of Spatial Sciences
curtin.accessStatusFulltext not available


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record