Weapons Typing Assessment via Spectrally Diverse Sensors and Air Sample

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0006-07-C-7660
Agency Tracking Number: B2-1371
Amount: $1,492,340.00
Phase: Phase II
Program: STTR
Awards Year: 2007
Solicitation Year: 2006
Solicitation Topic Code: MDA06-T010
Solicitation Number: 2006.
Small Business Information
SCITEC, INC.
100 Wall Street, Princeton, NJ, 08540-8540
DUNS: 096845169
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Joseph Caldwell
 (937) 874-7991
 jcaldwell@scitec.com
Business Contact
 James Lisowski
Title: CEO
Phone: (609) 921-3892
Email: jlisowski@scitec.com
Research Institution
 JOHNS HOPKINS UNIV.
 Christopher Michaelis
 2540 Dole Street
Hall 402
Honolulu, HI, 96822-
 (443) 778-5336
 Nonprofit college or university
Abstract
The proposed work will extend the studies conducted during Phase I to an actual demonstration of weapons typing assessment using data available at the Command and Control, Battle Management, and Communications (C2BMC) X-Lab at the Joint National Integration Center (JNIC). The SciTec and JHU/APL team will develop a weapons typing assessment module for the Hit assessment, Weapons typing, and Kill Assessment experiment (HaWK-X) that will extract features from data available at C2BMC. The goal will be to assess the class of reentry vehicle weapons type from features observed by current or future sensing systems with the highest priority on nuclear payload determination. Increased confidence in weapons classification will be achieved from the fusion of feature information from the time of intercept through reentry. Modeling and simulation will be incorporated to increase functionality, and a graphical user interface for displaying pertinent information to the global engagement manager will be developed to aid situational awareness and consequence mitigation. The capability will be demonstrated in the X-Lab during actual MDA missile defense tests. Additional off-line testing will be conducted to evaluate current sensor capabilities, recommend value-added enhancements to existing sensors, and future sensing capabilities needed to increase weapons typing confidence.

* information listed above is at the time of submission.

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