Integrated variable-fidelity modeling for remote sensing system design

Anderson, D. and Carson, K. (2009) Integrated variable-fidelity modeling for remote sensing system design. Proceedings of the SPIE: The International Society for Optical Engineering, 7483, 74830O. (doi:10.1117/12.832633)

Anderson, D. and Carson, K. (2009) Integrated variable-fidelity modeling for remote sensing system design. Proceedings of the SPIE: The International Society for Optical Engineering, 7483, 74830O. (doi:10.1117/12.832633)

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Publisher's URL: http://dx.doi.org/10.1117/12.832633

Abstract

Modeling and simulation fidelity varies considerably throughout the design process, from simple performance models used for requirements capture through to radiometrically correct synthetic environments for hardware-in-the-loop final acceptance testing. As complex systems engineering design is intrinsically iterative, having a framework to integrate models of different fidelity is extremely useful. In this paper, a new hierarchical, agent-based simulation engine is presented and then applied to the design of two airborne remote-sensing systems, forward mounted multi-mode radar and an electro-optic countermeasures system.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Anderson, Dr David
Authors: Anderson, D., and Carson, K.
Subjects:U Military Science > U Military Science (General)
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Q Science > QA Mathematics > QA76 Computer software
College/School:College of Science and Engineering > School of Engineering > Aerospace Sciences
Research Group:Aerospace Sciences
Journal Name:Proceedings of the SPIE: The International Society for Optical Engineering
Publisher:SPIE - The International Society for Optical Engineering
ISSN:0277-786X
Published Online:25 September 2009

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
464201Nonlinear high performance real time control.David AndersonEngineering & Physical Sciences Research Council (EPSRC)EP/F031734/1Aerospace Sciences