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Techniques for Performing Warhead Characterization

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0147-13-C-7377
Agency Tracking Number: B122-007-0104
Amount: $149,962.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: MDA12-007
Solicitation Number: 2012.2
Timeline
Solicitation Year: 2012
Award Year: 2013
Award Start Date (Proposal Award Date): 2013-03-26
Award End Date (Contract End Date): 2014-05-20
Small Business Information
4035 Chris Drive Suite C
Huntsville, AL -
United States
DUNS: 122515708
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Jim Burke
 Principal Investigator
 (256) 319-6000
 jim.burke@torchtechnologies.com
Business Contact
 Kenneth Lones
Title: Director of Contracts
Phone: (256) 319-6019
Email: kenneth.lones@torchtechnologies.com
Research Institution
 Stub
Abstract

Leveraging our extensive experience modeling, collecting, and analyzing missile intercept data and ballistic missile state estimation, Torch proposes designing an innovative instrumentation system integrated with automated data processing and data fusion algorithms to capture full-hemisphere, open-air, fragment mass, geometry and velocity information from arena and sled warhead characterization tests. Data from multiple visible and infrared high-speed cameras will be correlated and fused to derive fragment three-dimensional state (position, velocity, angular momentum) and mass/geometry information. Specialized camera optics will be developed to improve the debris measurement signal-to-noise ratio. A unique track correlation methodology will be implemented to handle the large number of measured objects. In addition, procedures for utilizing these data products to anchor MDA core lethality models are illustrated. Our Phase I work plan will focus on the camera optical design and the implementation of our automated data processing, correlation, and fusion algorithms. This numerical simulation architecture will address the feasibility of the measurement concepts, highlight the advantages of the proposed methodology, and provide a valuable pre-mission planning tool for live-fire data collections. Our proposed hardware/software approach will address critical debris data collection capability gaps in a timely and cost effective manner.

* Information listed above is at the time of submission. *

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