SBIR/STTR Research Award

Feature Based Machine Leaning

Award identifier 59c65cdd1eb185323ddde9d1589695636f5b84e4e44256f3f9da8a295c86efe7Awarding agency Department of Defense · Missile Defense Agency

Award amount

$974,314

Program and phase

SBIR · Phase II

Award year

2014

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Award details

Awarding agency
Department of Defense
Branch
Missile Defense Agency
Recipient company
VADUM INC
Proposal award date
2014-07-31
Contract end date
2016-07-30
UEI
V1NUDAVNFVK1
Solicitation number
2012.3
Topic code
MDA12-028

Research abstract

The bulk filtering algorithm is designed to suppress or eliminate uninteresting objects from a sensor data stream allowing sensor management systems to focus finite resources more effectively on objects of interest. During Phase II Vadum will carry out a series of demonstrations showing the incremental integration of their bulk filter approach within a high fidelity lab environment. Vadum will assess the performance of the machine learning approach at multiple locations within the signal processing logic of the targeted system to identify the configuration of greatest benefit. The bulk filtering solution is implemented as a non-invasive software enhancement to the radar, supplementing rather than replacing existing components. Approved for Public Release 14-MDA-7903 (2 July 14)

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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