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Generation of EW Libraries and Automatic Threat Identification (GELATI)

Award Information

Agency:
Department of Defense
Branch:
N/A
Award ID:
Program Year/Program:
2013 / SBIR
Agency Tracking Number:
N131-036-0259
Solicitation Year:
2013
Solicitation Topic Code:
N131-036
Solicitation Number:
2013.1
Small Business Information
Charles River Analytics Inc.
625 Mount Auburn Street Cambridge, MA 02138-
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2013
Title: Generation of EW Libraries and Automatic Threat Identification (GELATI)
Agency: DOD
Contract: N00024-13-P-4581
Award Amount: $79,987.00
 

Abstract:

Electronic warfare (EW) systems classify emitters by matching the signals detected against reference signatures in a tactical EW library. Since emitter signals can differ markedly from their library signatures (due to drift, new modes, propagation effects, etc.), ships with AN/SLQ-32(V) or SEWIP Block 1/2 systems use a labor-intensive process to iteratively"tailor"or"color"reference signatures to more closely resemble the signals they expect to detect. To enable ships to automatically build and update their tactical EW librarieswhile improving their ability to respond to new threat emitterswe propose to develop a system for Generation of EW Libraries and Automatic Threat Identification (GELATI). GELATI will perform the following: (1) generate data sets containing representative signal parameters by thoroughly exploring the envelope of tactical and EW scenarios; (2) account for signal attenuation and distortion by noise and propagation effects; (3) compute recommended revisions to the reference signatures in the tactical EW library to optimize emitter classification performance; and (4) rapidly classify threat emitters even if their reference signatures are not yet updated. By leveraging existing and developing technologies, we will demonstrate GELATI"s conceptual and engineering feasibility in Phase I, while ensuring that GELATI successfully interfaces with current and future transition targets.

Principal Investigator:

Wayne Thornton
Senior Scientist
(617) 491-3474
wthornton@cra.com

Business Contact:

Mark Felix
Contracts Manager
(617) 491-3474
mfelix@cra.com
Small Business Information at Submission:

Charles River Analytics Inc.
625 Mount Auburn Street Cambridge, MA -

EIN/Tax ID: 042803764
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No