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Award Information

Department of Defense
Missile Defense Agency
Award ID:
Program Year/Program:
2010 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
MDA 08-039
Solicitation Number:
Small Business Information
Technology Service Corporation
962 Wayne Avenue Suite 800 Silver Spring, MD 20910-4453
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 2
Fiscal Year: 2010
Title: Discrimination
Agency / Branch: DOD / MDA
Contract: HQ0006-11-C-7279
Award Amount: $499,911.00


The discrimination of lethal RVs within the ballistic missile complex is a challenging task. In Phase I, TSC demonstrated a nonparametric Bayesian classifier that can efficiently estimate the Probability Density Function (PDF) used in the Bayes classifier. A novel method of mapping N-dimensional space to 1-dimensional space was developed to mitigate the "dimensionality curse". Feedback from the PDF estimate is employed to reduce the simulation and feature extraction processing load. In Phase I, TSC showed that our technique could estimate complex PDFs with good accuracy while substantially reducing the training requirements. TSC's classifier and training architecture is compatible with both continuous and statistically-dependent features and should outperform conventional Dynamic Bayes Networks (DBNs) in many cases. In Phase II, TSC will refine the PDF estimator, implement the full classifier training architecture, and compare discrimination performance to conventional DBN algorithms. TSC will also investigate any limitations of our mapping technique, analyze its accuracy and improve its speed. TSC will additionally seek measured missile flight test data for testing. In Phase III, TSC plans to transition this technology into the BMD Decision Architecture.

Principal Investigator:

Jeffery R. Philson
Principal Investigator

Business Contact:

Allan Corbeil
Operations Manager
Small Business Information at Submission:

Technology Service Corporation
1900 S. Sepulveda Blvd Suite 300 Los Angeles, CA 90025

EIN/Tax ID: 954399083
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No