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Proceedings Paper

Multisensor multitarget tracking in 3D space using range and bearing measurements
Author(s): Saeed Gazor; Hossein Alavi; Farid Amoozegar
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Paper Abstract

In this paper the problem of estimation and tracking of geometric position of an object in a 3D space is considered using a network of sensors positioned at known points. Observations from each sensor include bearing and slant range of each object. Cramer-Rao error bound for estimation of target cartesian coordinates is derived and analyzed, in order to study the effects of measurement noise and sensor distribution in geometrical space. A basic structure for an adaptive algorithm is proposed for data acquisition and tracking.

Paper Details

Date Published: 24 May 1996
PDF: 10 pages
Proc. SPIE 2756, Automatic Object Recognition VI, (24 May 1996); doi: 10.1117/12.241139
Show Author Affiliations
Saeed Gazor, Isfahan Univ. of Technology (Iran)
Hossein Alavi, Isfahan Univ. of Technology (Iran)
Farid Amoozegar, Hughes Aircraft Co. (United States)

Published in SPIE Proceedings Vol. 2756:
Automatic Object Recognition VI
Firooz A. Sadjadi, Editor(s)

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