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.
[1]
Arnab K. Shaw,et al.
Automatic target recognition using Eigen templates
,
1998,
Defense, Security, and Sensing.
[2]
T. L. Lewis,et al.
Rank-order filters for FOPEN target detection
,
2004,
IEEE Signal Processing Letters.
[3]
Arnab K. Shaw,et al.
A kill chain architecture for prosecution of ground targets
,
2004,
SPIE Defense + Commercial Sensing.
[4]
Alexander H. Levis,et al.
C4ISR architectures: II. A structured analysis approach for architecture design
,
2000
.
[5]
Falko Bause,et al.
Stochastic Petri Nets: An Introduction to the Theory
,
2012,
PERV.
[6]
C. Petri.
Kommunikation mit Automaten
,
1962
.
[7]
Alexander H. Levis,et al.
C4ISR Architectures: I. Developing a Process for C4ISR Architecture Design
,
2000
.