SBIR/STTR Research Award

Integrating the Advanced Correlator-Navy (ACOR-N) Data Fusion Processor into the Command and Control Experimentation (C2X) Capability to Enhance Its C

Award identifier 94efe1ee5a84361a9121fa9a0d3da848539bf7db36e4562afa613f2c05b48165Awarding agency Department of Defense · Navy

Award amount

$174,874

Program and phase

SBIR · Phase I

Award year

2024

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
WILSON EAGLE LP
Proposal award date
2024-01-30
Contract end date
2025-02-10
UEI
KK7BDLMMQK85
Solicitation number
23.4
Topic code
N234-P08

Research abstract

The Wilson Eagle Limited Partnership and its subcontractors, ĀJove Sciences, Inc. and Big Bear AI, collecttively are the Advanced Correlator-Navy (ACOR-N Team, and ourĀĀproposal consistsĀof a Base Task and Option task, and the technical objectives are described below: Phase I Base Task Technical Objective: The ACOR-N TeamĀwill design and develop the software containerized/Dockerized modular plan to integrate each ACOR-N software module into C2X. The ACOR-N processing plan will first ingest the CMF/IBS data, process with ACOR-N, and output tracks to three C2X selectable displays on a single COP. First, all tracks will be displayed to the maritime situational awareness COP. In a second COP display, AREF and ACOR-N COMEXT CENOT Filter (ACCF) will be used to filter out all commercial ship tracks and focus on ANCs and ANSSs with a likelihood of classification for each of these contacts. In a third COP for long range fire support display, contact tracks of very high priority, determined by COMTHIRDFLT and COMPACFLT, will be zoomed for near real time assessment and subsequent input to the Fleet and combat system firing solution. AI/ML algorithms will be developed for each of the three COP displays as tactical decision aidsĀfor the operator to assess the state of each displayed track. Base Task ĀDeliverable: A Phase I Report showing details of the design for installing the CMF/IBS to AREF processor that will produce the same results obtained on WESTPAC data that the ACOR-N Team and COMTHIRDFLT MIOC processed in close coordination over the past three years. A summary of additional sensor sources other than the CMF/IBS feed will show the details of their connectivity to C2X via SIPRNet and JWICS. Option Task Technical Objective: The ACOR-N TeamĀwill design and develop the ACOR-N containerized/Dockerized ACOR-N software module software interfaces to existing C2X software modules, and develop a ACOR-N/C2X software integration plan, including both the ACOR-N DFP and PB/PoL processors shown..ĀĀThe role of AI/ML algorithms will be designed and developed into the ACOR-N/C2X integration plan. Option Task Deliverable: The Phase I Base Task Report will be enhanced to show a Final Phase I ReportĀwith details of the C2X/ACOR-N integration design with measured data used to show the three COP displays. A detailed discussion of the AI-ML algorithms used in the CMF/IBS to AREF processor and the PB/PoL processor will be presented. A Plan for the Phase IIĀĀeffort will be presented in detail. Ā Anticipated results of the proposed ACOR-N/C2X Integration Plan:ĀThe ACOR-N DFP and PB/PoL Processor with connectivity to CEC and Minotaur sensor sources will greatly enhance C2XÆs capability to detect, track, classify, and identify contacts of high interest to the Fleet. The PB/PoL processor developed in Phase II, if awarded, will provide C2X the capability to detect seven types of anomalous behavior, and collect in store valuable historical track information on contacts of high interest.

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

2 SBIR/STTR records share this UEI (2024–2025). Reported award amounts total $2,174,176. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

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.