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Anchoring Post-Intercept Debris Prediction Tools

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0147-13-C-7505
Agency Tracking Number: B123-029-0050
Amount: $99,970.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: MDA12-029
Solicitation Number: 2012.3
Timeline
Solicitation Year: 2012
Award Year: 2013
Award Start Date (Proposal Award Date): 2013-04-29
Award End Date (Contract End Date): 2013-11-30
Small Business Information
145 Overhill Drive
Mooresville, NC -
United States
DUNS: 040707460
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Peter Woods
 Principal Investigator
 (256) 457-6764
 peter.woods@corvidtec.com
Business Contact
 David Robinson
Title: President
Phone: (704) 799-6944
Email: david.robinson@corvidtec.com
Research Institution
 Stub
Abstract

As MDA continues implementation of the Phased Adaptive Approach (PAA), robust operation of BMDS sensors within post-intercept debris environments will become more critical to successful operation of the larger BMDS. Due to a paucity of test data, development and performance testing of BMDS sensors in these dense debris environments must rely heavily on M & S capabilities. Several post-intercept debris prediction tools exist, although their ability to model high-velocity (>3 km/s) intercepts of complex threats and Non-Lethal Objects is not adequately vetted due to insufficient test data at these closing speeds. In order to fill this gap, flight test data at tactical closing speeds need to be better utilized for validation of M & S tools. Remote RF/IR sensor data collections are useful, but in situ data collections interrogating discrete debris pieces would provide more precise metric data for validation purposes. Here, we propose a debris tagging concept that would allow us to record essential data (e.g. velocity, size, temperature, etc.) for the largest target debris pieces created during these collisions. These data would then be used to validate post-intercept debris prediction tools in the phase space of interest for the BMDS.

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

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