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Proceedings Paper

Processor design optimization methodology for synthetic vision systems
Author(s): Bill Wren; Norman G. Tarleton; Peter F. Symosek
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Paper Abstract

Architecture optimization requires numerous inputs from hardware to software specifications. The task of varying these input parameters to obtain an optimal system architecture with regard to cost, specified performance and method of upgrade considerably increases the development cost due to the infinitude of events, most of which cannot even be defined by any simple enumeration or set of inequalities. We shall address the use of a PC-based tool using genetic algorithms to optimize the architecture for an avionics synthetic vision system, specifically passive millimeter wave system implementation.

Paper Details

Date Published: 26 June 1997
PDF: 7 pages
Proc. SPIE 3088, Enhanced and Synthetic Vision 1997, (26 June 1997); doi: 10.1117/12.277225
Show Author Affiliations
Bill Wren, Honeywell Inc. (United States)
Norman G. Tarleton, Honeywell Inc. (United States)
Peter F. Symosek, Honeywell Inc. (United States)

Published in SPIE Proceedings Vol. 3088:
Enhanced and Synthetic Vision 1997
Jacques G. Verly, Editor(s)

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