Radar Debris Algorithms and Models for Discrimination

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: W9113M-08-C-0139
Agency Tracking Number: B063-014-0264
Amount: $995,548.00
Phase: Phase II
Program: SBIR
Awards Year: 2008
Solicitation Year: 2006
Solicitation Topic Code: MDA06-014
Solicitation Number: 2006.3
Small Business Information
1900 S. Sepulveda Blvd, Suite 300, Los Angeles, CA, 90025
DUNS: 053885604
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 George Bohannon
 Corporate Senior Staff
 (310) 954-2200
Business Contact
 Robert Graziano
Title: President
Phone: (203) 268-1249
Email: robert.graziano@tsc.com
Research Institution
Radar data collected on U.S. domestic missile flight tests has revealed significant debris environments. Solid rocket boosters have been found to create particularly dense debris environments, but deployment hardware debris is typically also present, both for solid and liquid fuel boosters. Data collected on foreign tests has also indicated significant debris environments. It is important that the effects of debris on BMDS performance be well understood and its detrimental effects mitigated where necessary. The debris RCS modeling technique developed under this SBIR will help ensure that large-scale BMDS simulations accurately reflect realistic debris environments. Also, the prescreening technique makes it possible to quickly assign debris identification probabilities to many of the objects in a missile complex, typically after a few seconds of track, thereby enabling the defense to allocate its resources more effectively. In Phase I TSC demonstrated the feasibility of a debris RCS modeling technique. TSC will refine and fully automate the model in Phase II. The Phase I effort also generated quantitative prescreener performance results for a limited set of deployment and debris environment conditions. A much more expanded set of conditions will be examined during Phase II to mature the algorithm and characterize performance.

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

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