File(s) under permanent embargo
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 PathiranaIn 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 ProcessingVolume
88Issue
7Pagination
1775 - 1791Publisher
Elsevier BVLocation
New York, NYPublisher DOI
ISSN
0165-1684eISSN
1872-7557Language
engPublication classification
C1 Refereed article in a scholarly journalCopyright notice
2008, Elsevier B.VUsage metrics
Categories
No categories selectedKeywords
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC