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New Physics-Based Methodology for Optimizing Tracking and ATR Performance via…

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
62532
Program Year/Program:
2004 / SBIR
Agency Tracking Number:
F031-0674
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
ALPHATECH, INC.
6 New England Executive Park Burlington, MA 01803
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2004
Title: New Physics-Based Methodology for Optimizing Tracking and ATR Performance via Feature-Level Fusion of Multi-Sensor Data
Agency / Branch: DOD / USAF
Contract: FA8650-04-C-1703
Award Amount: $750,000.00
 

Abstract:

We propose a methodology for improving perfomrance of ATR and tracking algorithms. We discover and develop high-value features and templates extracted from multi-sensor and multi-look data, and enhance their utility using model-based and learing-based feature level fusion (and hypothesis level fusion). This optimization is performed in a statistical framework for robustness, and is cast in an integrated platform that links ATR and tracking algorithms with target physics databases, data processing and feature extraction capabilties, and noise and scenario generators. Genetic algorithms are used to drive the optimal feature/template selection and fusion engine design process. Feature/template and fusion utility is assessed by measuring tracker and ATR MOPs such as track purity, and probability of correct assocation and id over a suitable distribution of operating conditions, scenarios and noise processes. The data modalities considered include radar, laser and infrared. Super resolution methods are applied to develop improved feature types from image and profile data, and to enhance the quality of their construction. The methodology can be used to improve performance MOPS across diverse scenarios, reduce computational complexity, provide natural objective functions for sensor resource management, and inform design of Advanced Technology Demonstration (ATD) experiments.

Principal Investigator:

Eugene M. Lavely
7812733388
elavely@alphatech.com

Business Contact:

John J. Barry
7812733388
jbarry@alphatech.com
Small Business Information at Submission:

ALPHATECH, INC.
6 New England Executive Park Burlington, MA 01803

EIN/Tax ID: 042654515
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No