Paper
12 August 2004 Colored Petri net simulation and modeling of air-to-ground targeting
Author Affiliations +
Abstract
Air-to-Ground targeting in a kill chain requires timely information flow and coordination of a large number of complex and disparate systems and events that are distributed in space and time. Modeling and simulation of such complex systems poses a considerable challenge to the system developers. Colored Petri Nets (CPN) provide a well-established graphically-oriented simulation tool with the capability to incorporate design and performance specifications and operational requirements of complex discrete-event systems for verification and validation under a variety of input stimuli. In this paper, we present the results of a preliminary study of implementing rudimentary, yet realistic, kill chain modules for Air-to-Ground combat using CPN tools. We have developed top-level functional kill chain modules incorporating its primary functions. It is expected that the modularity of the CPN-based simulation framework will enable us to incorporate further details and breadth in system complexities in order to study real world kill-chain simulation environment as an integral part of DOD's C4ISR architecture.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Arunesh Roy, Arnab K. Shaw, and Alan D. Kerrick "Colored Petri net simulation and modeling of air-to-ground targeting", Proc. SPIE 5410, Radar Sensor Technology VIII and Passive Millimeter-Wave Imaging Technology VII, (12 August 2004); https://doi.org/10.1117/12.547503
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Cited by 3 scholarly publications.
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KEYWORDS
Sensors

Monte Carlo methods

Systems modeling

Stochastic processes

Complex systems

Computer programming

Target detection

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