Method for the application of the empirical bootstrap to confidence ellipse estimation in bearings-only localization.

Date

Access rights

Worldwide access.
Access changed 7/12/18.

Journal Title

Journal ISSN

Volume Title

Publisher

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.

Description

Keywords

Bearings-only localization. Bootstrap. Estimation. Non-parametric methods. Signal processing.

Citation