SBIR/STTR Research Award

A Lightweight, Flexible, Scalable Approach to Trainer Systems

Award identifier d441a21c44f0e98176c022a1e1bf7e095bb4913b6dc68e0c26f0220660c6dd94Awarding agency Department of Defense · Navy

Award amount

$79,993

Program and phase

SBIR · Phase I

Award year

2011

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
JRM ENTERPRISES, INC.
Proposal award date
2011-08-12
Contract end date
Not reported
UEI
EM1TV2GYQDY3
Solicitation number
2011.1
Topic code
N111-050

Research abstract

JRM and VT MK propose an innovative, high-performance approach to the modeling and simulation of remote sensing platforms like the MH60, their respective full-spectrum sensors, and associated navy tactical data links. that is platform-independent, scaleable, and provides for physics-based high-fidelity. Leveraging JRM"s proven Target Acquisition Agent federate technology, and Mak"s tactical, visualization, and networking components, this approach will be demonstrated in the Phase I to provide platform-independence, scalability, and high-fidelity physics-based sensor simulation and acquisition assessment, and will yield a corresponding design for Phase II implementation using modern track management services. Using networked HLA federates, this architecture will allow sensor tier elements to be added and operated independently of the scenario control elements which define the common environment. Metrics will be developed which assess how well this new data model and architecture minimizes the complexity and cross-domain coupling typically associated with updated/new sensors and sensor capabilities, and integration of the architecture with existing and upcoming tactical data links will be addressed. Finally, as an option, JRM and VT MK will demonstrate a prototype of the proposed architecture, involving multiple realistic scenario and sensor control elements.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

42 SBIR/STTR records share this UEI (2001–2023). Reported award amounts total $17,441,580. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.