SBIR/STTR Research Award

Scheduling Algorithm for Efficient and Effective Predicted Intercept Points (PIPs) for Multiple Targets

Award identifier cab07662ca5c4bc1157080b0357f17cae2554588033ddd43ff11c659164d1163Awarding agency Department of Defense · Navy

Award amount

$124,981

Program and phase

SBIR · Phase I

Award year

2018

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
VADUM INC
Proposal award date
2018-05-23
Contract end date
2019-08-21
UEI
V1NUDAVNFVK1
Solicitation number
18.1
Topic code
N181-055

Research abstract

Vadum will develop a suite of algorithms that generate optimal engagement scheduling for the Aegis Weapons System (AWS) when faced with threats arriving in a swarm or raid. The Prediction, Optimization and Scheduling of System Engagements (POSSE) system will analyze kinematic profiles of threats attacking in raids or swarms, generate candidate Predicted Intercept Points (PIP), and produce an optimal engagement schedule that deconflicts mutually obscuring PIPs, avoids environmental obscuration from sea clutter, and maximizes overall engagement success.

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

99 SBIR/STTR records share this UEI (2007–2025). Reported award amounts total $56,793,558. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, Department of Homeland Security

Agency intelligence

Department of Defense

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