Integer aperture least-squares estimation
| dc.contributor.author | Teunissen, Peter | |
| dc.date.accessioned | 2017-01-30T14:51:48Z | |
| dc.date.available | 2017-01-30T14:51:48Z | |
| dc.date.created | 2012-06-11T02:32:57Z | |
| dc.date.issued | 2005 | |
| dc.identifier.citation | Teunissen, P.J.G. 2005. Integer aperture least-squares estimation. Artificial Satellites. 40 (3): pp. 149-160. | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/41444 | |
| dc.description.abstract |
GNSS carrier phase ambiguity resolution is the key to fast and high-precision satellite positioning and navigation. It applies to a great variety of current and future models of GPS, modernized GPS and Galileo. In [Teunissen, 2003] we described the general principle of integer aperture (IA) ambiguity estimation. In the present contribution we introduce one particular IA estimator, the integer aperture least-squares (IALS) estimator. The motivation for studying this estimator stems from the known optimality of the integer least-squares estimator. It is shown how the IALS estimator extends the integer least-squares estimator and how its performance can be measured by means of its fail-rate and success-rate. | |
| dc.publisher | Versita | |
| dc.subject | Artificial Satellites | |
| dc.subject | Positioning | |
| dc.subject | Integer Least-Squares | |
| dc.subject | Navigation | |
| dc.title | Integer aperture least-squares estimation | |
| dc.type | Journal Article | |
| dcterms.source.volume | 40 | |
| dcterms.source.number | 3 | |
| dcterms.source.startPage | 149 | |
| dcterms.source.endPage | 160 | |
| dcterms.source.issn | 0208841X | |
| dcterms.source.title | Artificial Satellites | |
| curtin.department | Delft University of Technology | |
| curtin.accessStatus | Open access |