Exploiting geometry for improved hybrid AOA/TDOA-based localization

Bishop, Adrian N, Fidan, Barış, Dogancay, Kutluyıl, Anderson, Brian D.O. and Pathirana, Pubudu N 2008, Exploiting geometry for improved hybrid AOA/TDOA-based localization, Signal Processing, vol. 88, no. 7, pp. 1775-1791, doi: 10.1016/j.sigpro.2008.01.015.

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Title Exploiting geometry for improved hybrid AOA/TDOA-based localization
Author(s) Bishop, Adrian N
Fidan, Barış
Dogancay, Kutluyıl
Anderson, Brian D.O.
Pathirana, Pubudu NORCID iD for Pathirana, Pubudu N orcid.org/0000-0001-8014-7798
Journal name Signal Processing
Volume number 88
Issue number 7
Start page 1775
End page 1791
Total pages 17
Publisher Elsevier BV
Place of publication New York, NY
Publication date 2008-07
ISSN 0165-1684
Keyword(s) Bearing
Hybrid localization
Range difference
Summary 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.
Language eng
DOI 10.1016/j.sigpro.2008.01.015
Field of Research 080503 Networking and Communications
Socio Economic Objective 861799 Communication Equipment not elsewhere classified
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2008, Elsevier B.V
Persistent URL http://hdl.handle.net/10536/DRO/DU:30017705

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