SBIR/STTR Research Award
Front-end Controller for an Intelligent Synthetic Forces Simulation Engine
Award amount
$0Program and phase
SBIR · Phase IAward year
2003Award 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