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Proceedings Paper

Virtual simulation tools for artillery
Author(s): Patrick Gozard; Emmanuel Bret; Thierry Cathala
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Paper Abstract

To perform multi-sensors simulations, the French DGA/DET (Directorate for Technical Evaluation of the French Ministry of Defense) uses CHORALE (simulated Optronic Acoustic Radar battlefield). CHORALE enables the user to create virtual and realistic multi spectral 3D scenes, and generates the physical signal received by one or several sensors, typically an IR sensor or an acoustic sensor. This article presents different kinds of scenario such as desert, urban, campaign place to evaluate intelligent artillery ammunition. The ammunition described has to detect thermal contrast above a target area for the detection capability and firing decision. The scene is as realistic as possible to give to french army good parameters according to their request in a typical operational scenario. That includes background with trees, houses, roads, fields, targets, dunes, with different materials such as grass, sand, rock, wood, concrete... All object in the 3D scene is characterized by optronic parameters used by CHORALE Workbench. The signal provided by this workbench is adapted by AMOCO workbench which allows defining sensor technology. Then a process unit provides the firing decision and the lethality data from the target which has been reached. Each tool is explained to understand the physics phenomena in the scene to take into account atmospheric transmission, radiative parameters of objects and counter-measure devices. Finally, this paper shows results by coupling the operational scenario with sensor model to do a global simulation in order to determine global performances of artillery ammunition.

Paper Details

Date Published: 17 April 2008
PDF: 11 pages
Proc. SPIE 6968, Signal Processing, Sensor Fusion, and Target Recognition XVII, 69680M (17 April 2008); doi: 10.1117/12.780359
Show Author Affiliations
Patrick Gozard, DGA/DET/ETBS (France)
Emmanuel Bret, DGA/DET/ETBS (France)
Thierry Cathala, OKTAL Synthetic Environment (France)

Published in SPIE Proceedings Vol. 6968:
Signal Processing, Sensor Fusion, and Target Recognition XVII
Ivan Kadar, Editor(s)

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