SBIR/STTR Research Award

Understanding HEL Effects on RF Seekers through Adaptive Testing, Proxy Model Creation, and Integration with Mission Level Simulations

Award identifier 606074a131550885cd8a8845d562bfcb992beb108d40fb72b61f4ad2b7d64b93Awarding agency Department of Defense · Air Force

Award amount

$150,000

Program and phase

SBIR · Phase I

Award year

2022

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
OPTIMIZATION TECHNOLOGIES, INC.
Proposal award date
2022-09-01
Contract end date
2023-06-01
UEI
E7MNGQ56KYB7
Solicitation number
22.1
Topic code
AF221-0007

Research abstract

The United States Air Force (USAF) faces significant challenges in evaluating system performance of actively tracking radio frequency (RF) seeker systems subject to high energy laser (HEL) irradiation. Rapidly evolving technologies and the complexity and cost of testing can lead to gaps in knowledge regarding current system behaviors. Understanding the potential operational implications of both blue and red future systems is an even more complex challenge. There is little data available characterizing the impact of the use of HEL systems when employed to interfere with RF seeker systems. The USAF needs 1) a testing framework that can gather maximal data from minimal tests, 2) fast running, highly accurate, predictive models that can be trained on test data to predict the effects of HEL weapons on RF seeker systems, and 3) mission level models that can be combined with these predictive models to understand the impact of HEL systems in operational scenarios. OptTek Systems, Inc. (OptTek) is proposing a set of proven technologies that can be combined and applied to this problem along with an experienced team that has the background and expertise to achieve these goals. The team proposed to address this critical USAF need consists of OptTek, Infoscitex, Starwin Industries, and ARA.  Working with USAF stakeholders, the OptTek team will leverage its previous experience with testing, RF systems, AI/ML, modeling, and simulation to provide a proof-of-concept demonstration that links test data to a fast-running Kriging-based predictive proxy model to an AFSIM mission level simulation. The team will also provide a Phase 2 testing framework that adaptively select tests to execute that provide the data needed to maximize model prediction accuracy with minimal tests.

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

39 SBIR/STTR records share this UEI (2003–2025). Reported award amounts total $27,442,303. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Science Foundation, Department of Health and Human Services

Agency intelligence

Department of Defense

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