Multisensor multitarget tracking in 3D space using range and bearing measurements

Saeed Gazor; Hossein Alavi; Farid Amoozegar

doi:10.1117/12.241139

24 May 1996 Multisensor multitarget tracking in 3D space using range and bearing measurements

Saeed Gazor, Hossein Alavi, Farid Amoozegar

Proceedings Volume 2756, Automatic Object Recognition VI; (1996) https://doi.org/10.1117/12.241139
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

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.

Citation Download Citation

Saeed Gazor, Hossein Alavi, and Farid Amoozegar "Multisensor multitarget tracking in 3D space using range and bearing measurements", Proc. SPIE 2756, Automatic Object Recognition VI, (24 May 1996); https://doi.org/10.1117/12.241139

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