SBIR/STTR Research Award

For Development of Modeling and Simulation Techniques for Large-Scale Communications Modeling

Award identifier dc5916e0ae8d7ac316b27204580e6cae9e372fa9e85080ad66787ee1511f56d8Awarding agency Department of Defense · Army

Award amount

$99,525

Program and phase

SBIR · Phase I

Award year

1997

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Award details

Awarding agency
Department of Defense
Branch
Army
Recipient company
Steve Webb
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

Modeling and simulation is generally accepted as an effective way of analyzing command, control, and communication systems. As larger and more complex systems are considered, however, the costs of running the simulations is increasing, particularly in the human resources required to set up the runs, verify their accuracy, and analyze the resulting data. Options available are 1) run existing models faster, 2) run simpler models, and 3) automate part of the tasks of the analyst. Models can be made to run faster with faster computers and code or by changing the calculations made. Simpler models can be achieved through aggregation, statistical summary, or by scaling techniques, and validation methodology can be used to insure that fidelity is not compromised. Analyst tasks can be lessened through statistical experiment design and analysis tools. This effort will develop these three threads and apply them to problems in assessing the effectiveness of technology insertion and the impacts of doctrinal and operational changes of interest to the Army. Modeling and simulation has wide use for specifying, designing, and developing military command, control, and communication systems. Streamlined techniques for very large models will achieve significant operating and support cost reductions. Commercial applications with very large numbers of entities will also benefit.

Technology keywords

Not reported

Agency intelligence

Department of Defense

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