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GPS position determination using a nonlinear predictive filter
| dc.creator | Webb, Curtis Brandon | |
| dc.date.accessioned | 2012-06-07T23:19:21Z | |
| dc.date.available | 2012-06-07T23:19:21Z | |
| dc.date.created | 2002 | |
| dc.date.issued | 2002 | |
| dc.identifier.uri | https://hdl.handle.net/1969.1/ETD-TAMU-2002-THESIS-W275 | |
| dc.description | Due to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item. | en |
| dc.description | Includes bibliographical references (leaves 69-71). | en |
| dc.description | Issued also on microfiche from Lange Micrographics. | en |
| dc.description.abstract | This thesis develops an algorithm for GPS position determination. The algorithm is based on a nonlinear predictive filter and is a non-iterative method which converges over time. This algorithm is shown to provide an optimal correction at each time-step. The predictive filter is compared with nonlinear least squares using both ground-based and space-based simulations. Results show that the position estimates of the predictive filter are nearly identical to nonlinear least squares for all cases except those with very high velocities, such as an orbiting satellite. The computational workload of the predictive filter is shown to be significantly less than that of nonlinear least squares. | en |
| dc.format.medium | electronic | en |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en_US | |
| dc.publisher | Texas A&M University | |
| dc.rights | This thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use. | en |
| dc.subject | aerospace engineering. | en |
| dc.subject | Major aerospace engineering. | en |
| dc.title | GPS position determination using a nonlinear predictive filter | en |
| dc.type | Thesis | en |
| thesis.degree.discipline | aerospace engineering | en |
| thesis.degree.name | M.S. | en |
| thesis.degree.level | Masters | en |
| dc.type.genre | thesis | en |
| dc.type.material | text | en |
| dc.format.digitalOrigin | reformatted digital | en |
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