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

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-05-M-0237
Agency Tracking Number: N054-013-0449
Amount: $69,993.00
Phase: Phase I
Program: STTR
Awards Year: 2005
Solicitation Year: 2005
Solicitation Topic Code: N05-T013
Solicitation Number: N/A
Small Business Information
2019 Georgetown Blvd, Ann Arbor, MI, 48105
DUNS: 118732838
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Tayfun Ozdemir
 (734) 222-4558
Business Contact
 Tayfun Ozdemir
Title: President
Phone: (734) 222-4558
Research Institution
 Lisa Kuuttila
 801 University Blvd., SE, Suite 101
Albuquerque, NM, 87106
 (505) 272-7900
 Nonprofit college or university
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.

* information listed above is at the time of submission.

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