SBIR/STTR Research Award

Development of Novel Knowledge-Based Space-Time Adaptive Processing (STAP) Techniques Using Support Vector Machines (SVMs)

Award identifier d3b4158a1b4807c9dace6c7801b7172ede4734ced336a6ff5421d69529d303f0Awarding agency Department of Defense · Navy

Award amount

$69,993

Program and phase

STTR · Phase I

Award year

2005

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
VIRTUAL EM INC.
Proposal award date
2005-08-01
Contract end date
2006-05-31
UEI
XVVMZSCBJJS6
Solicitation number
Not reported
Topic code
N05-T013

Research abstract

Virtual EM Inc. proposes to develop STAP techniques using machine learning algorithms for eventual implementation in critical radar systems. These algorithms require less time to train than neural networks. Virtual EM's simulation packages will be used to train the algorithms for array element failure, multi-path and jamming mitigation as well as interference from ground and maritime clutter. The performance of the algorithms will be evaluated in comparison to conventional reduced order STAP techniques.

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

31 SBIR/STTR records share this UEI (2002–2025). Reported award amounts total $7,801,861. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, National Science Foundation, Department of Commerce

Agency intelligence

Department of Defense

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