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Exploiting geometry for improved hybrid AOA/TDOA-based localization

journal contribution
posted on 2008-07-01, 00:00 authored by Adrian Bishop, B Fidan, K Dogancay, B Anderson, Pubudu PathiranaPubudu Pathirana
In this paper we examine the geometrically constrained optimization approach to localization with hybrid bearing (angle of arrival, AOA) and time difference of  arrival (TDOA) sensors. In particular, we formulate a constraint on the measurement errors which is then used along with constraint-based optimization tools in order to estimate the maximum likelihood values of the errors given an appropriate cost function. In particular we focus on deriving a localization algorithm for stationary target localization in the so-called adverse localization geometries where the relative positioning of the sensors and the target do not readily permit accurate or convergent localization using traditional approaches. We illustrate this point via simulation and we compare our approach to a number of different techniques that are discussed in the literature.

History

Journal

Signal Processing

Volume

88

Issue

7

Pagination

1775 - 1791

Publisher

Elsevier BV

Location

New York, NY

ISSN

0165-1684

eISSN

1872-7557

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Copyright notice

2008, Elsevier B.V

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