Fusion of IR and Radar for Enhanced Threat Recognition and Interception (FIRE-TRAIN)

Award Information
Agency:
Department of Defense
Amount:
$99,913.00
Program:
STTR
Contract:
HQ0147-13-C-7183
Solitcitation Year:
2012
Solicitation Number:
2012.A
Branch:
Missile Defense Agency
Award Year:
2013
Phase:
Phase I
Agency Tracking Number:
B12A-001-0003
Solicitation Topic Code:
MDA12-T001
Small Business Information
Charles River Analytics Inc.
MA, Cambridge, MA, 02138-4555
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
115243701
Principal Investigator
 Wayne Thornton
 Senior Scientist
 (617) 491-3474
 wthornton@cra.com
Business Contact
 Mark Felix
Title: Contracts Manager
Phone: (617) 491-3474
Email: mfelix@cra.com
Research Institution
 George Institute of Technology
 Sophia Herbert-Peterson
 84 Fifth St. N.W.
Atlanta, GA, 30308-
 (404) 385-6705
 Nonprofit college or university
Abstract
The proliferation of sophisticated ballistic missile systems threatens the ability of the U.S. to project military power and defend its deployed forces, its allies, and possibly even the homeland. Adversaries continue to improve their ballistic missile technologies, and are expected to incorporate multiple warheads, countermeasures, and decoys. The AEGIS systemthe sea-based component of the U.S. ballistic missile defense capabilityis expected to identify and intercept valid targets among a group of incoming objects while relying on ship-based radars and electro-optical/infra-red (EO/IR) seekers on the intercepting missiles. Charles River Analytics proposes to improve the current and future performance of AEGIS BMD by designing and demonstrating methods for Fusion of IR and Radar for Enhanced Threat Recognition and Interception (FIRE-TRAIN). FIRE-TRAIN will incorporate (1) a transparent fusion architecture that (2) accurately characterizes uncertainties in the fusion process, and thereby (3) helps designers understand the impact of specific uncertainties on system performance using (4) a flexible implementation framework. In these ways, FIRE-TRAIN can improve the ability of the AEGIS BMD system to identify and intercept valid targets from a group of incoming objects, while providing an analytical framework that enables designers to assess and improve system performance.

* information listed above is at the time of submission.

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