Method for the application of the empirical bootstrap to confidence ellipse estimation in bearings-only localization.
dc.contributor.advisor | Thompson, Michael Wayne. | |
dc.creator | Stone, Joshua Dale. | |
dc.date.accessioned | 2016-06-21T13:42:30Z | |
dc.date.accessioned | 2017-04-07T19:35:27Z | |
dc.date.available | 2016-06-21T13:42:30Z | |
dc.date.available | 2017-04-07T19:35:27Z | |
dc.date.created | 2016-05 | |
dc.date.issued | 2016-05-05 | |
dc.date.submitted | May 2016 | |
dc.date.updated | 2016-06-21T13:42:30Z | |
dc.description.abstract | Bearings-only localization is a problem with applications in the communications and defense sectors. Although the problem of point estimation for bearings-only localization has been well explored in the literature, there still exists a significant need for methods for interval estimation, particularly methods which are non-parametric in nature. This thesis applies a non-parametric statistical technique called the empirical bootstrap to accomplish two goals. The first is the application of the bootstrap to develop a novel, non-iterative, asymptotically unbiased estimator for bearings-only localization. The second is a method which leverages the bootstrap, as well as the aforementioned estimator, to estimate two-dimensional confidence ellipses for bearings-only localization. The development of these techniques is supported by simulation study over a range of scenario geometries and noise models, and the results are shown to be competitive to current techniques, if not preferable, depending on the particular problem domain and situation. | |
dc.format.mimetype | application/pdf | |
dc.identifier.uri | http://hdl.handle.net/2104/9608 | |
dc.language.iso | en | |
dc.rights.accessrights | No access - Contact librarywebmaster@baylor.edu | |
dc.subject | Bearings-only localization. Bootstrap. Estimation. Non-parametric methods. Signal processing. | |
dc.title | Method for the application of the empirical bootstrap to confidence ellipse estimation in bearings-only localization. | |
dc.type | Thesis | |
dc.type.material | text |