SBIR/STTR Research Award

Front-end Controller for an Intelligent Synthetic Forces Simulation Engine

Award identifier 6ca5a574b67d3449f4f5106f91f96e0a2a9d202620efa4cf78bb95888dbbe5b6Awarding agency Department of Defense · Navy

Award amount

$0

Program and phase

SBIR · Phase I

Award year

2003

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
BMH ASSOC., INC.
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

The US Navy?fs Battle Force Tactical Training (BFTT) system is currently being deployed aboard US Navy surface combatant ships to provide coordinated, realistic, proficiency training. In the current implementation, the fidelity of the model representationsis not sufficient to achieve all training objectives. Additionally, the constituents of the synthetic battlespace and their behaviors are based upon pre-scripted simulation scenarios and the system has limited capabilities to interactively and dynamicallymodify the run-time state of the simulated environment. The Joint Semi-Automated Forces (JSAF) Federation has been successfully integrated and used within BFTT and has been identified as one of the key applications to improve upon the existing BFTTsimulation technology.This Phase II SBIR will enhance the capabilities demonstrated in Phase I in the following manner:?¿ Extend JSAF?fs distributed protocol to support a broader set of configuration and control directives?¿ Integrate the Phase II capabilities into the BFTT Scenario Generation and Control (SG&C) architecture?¿ Conduct a technology demonstration(s) to elicit feedback from fleet representatives regarding Phase II capabilitiesThe activities described above will significantly reduce the workload of the BFTT operator while enhancing the training that the warfighter receives. The voice component of the proposed Phase II system will provide a practical application of cutting-edgevoice technologies. Lessons learned from Phase II activities will be provided to any applicable vendors in anticipation that technology improvements will be made. The grammar that is used in conjunction with the voice recognition and generation systemswill provide a real-world testbed for these technologies.The protocol and the interface module that are being developed for Phase II will be capable of supporting differing simulation domains and intended uses. Experimentation, analysis, and acquisition communities can reuse the simulation technologies that areembedded within these applications in order to understand their individual program objectives.

Technology keywords

Not reported

Agency intelligence

Department of Defense

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