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Proceedings Paper

Optimised autonomous search pattern evaluation using the Cerberus framework
Author(s): C. Angell; M. Bernhardt
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Paper Abstract

There is an increasing emphasis on the intelligent use of multiple sensor assets within military applications which is driven by a number of factors. Firstly, the deployment of multiple, co-operative sensors can provide a much greater situational awareness which is a key factor in military decision making at both strategic and tactical levels. Secondly, through careful and timely asset management, military tempo and effectiveness can be maintained and even enhanced such that the mission objectives are optimally prosecuted. Thirdly, intrinsic limitations of individual sensors and their processing demands can be reduced or even eliminated. From a mission perspective, this renders the constraints and frailties of the associated with the sensor network transparent to the military end users. Underpinning all of these factors is the need to adaptively control and manipulate the various sensor search vectors in both space and time. Such a design and operational capability is provided through Cerberus, an advanced design tool developed by Waterfall Solutions Ltd. Within this paper, investigations into a range of different military applications using the Cerberus design environment are reported and assessed in terms of the associated military objectives. These applications include the use of both manned and uninhabited air vehicles as well as land and sea based sensor platforms. The use and benefits of available a priori knowledge such as digital terrain data and mission intelligence can also be exploited within the Cerberus environment to great military advantage.

Paper Details

Date Published: 11 April 2008
PDF: 12 pages
Proc. SPIE 6965, Modeling and Simulation for Military Operations III, 696509 (11 April 2008); doi: 10.1117/12.777359
Show Author Affiliations
C. Angell, Waterfall Solutions Ltd. (United Kingdom)
M. Bernhardt, Waterfall Solutions Ltd. (United Kingdom)

Published in SPIE Proceedings Vol. 6965:
Modeling and Simulation for Military Operations III
Dawn A. Trevisani, Editor(s)

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