Adaptive Tasking of Radar and Optical Sensors

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8718-05-C-0045
Agency Tracking Number: F051-025-0896
Amount: $99,990.00
Phase: Phase I
Program: SBIR
Awards Year: 2005
Solitcitation Year: 2005
Solitcitation Topic Code: AF05-025
Solitcitation Number: 2005.1
Small Business Information
BLACK RIVER SYSTEMS CO., INC.
162 Genesee Street, Utica, NY, 13502
Duns: 111305843
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Peter Shea
 Principal Investigator
 (315) 732-7385
 shea@brsc.com
Business Contact
 Michael Krumme
Title: Vice President
Phone: (315) 732-7385
Email: krumme@brsc.com
Research Institution
N/A
Abstract
Today's battlefield environment contains large number of sensors onboard multiple platforms. This set of sensors types includes SAR, EO/IR, GMTI, AMTI, HSI, MSI, and video and for each sensor type there may be multiple modalities. In an attempt to maximize sensor performance, today's sensors employ either very simplistic tasking approaches or require an operator to manually change sensor tasking operations. As such, the sensors become less effective as the sensing environments deviates from the assumed conditions. In order to improve the overall system capability, this effort examines a genetic algorithm approach to solving the adaptive sensor tasking problem. The genetic algorithm approach is a method for intelligently searching a large solution space with the added benefit that it is highly parallelizable and easily incorporates prior solution information. This Phase I effort will develop an objective function that accurately models the adaptive sensor tasking problem, develop a genetic algorithm solution for this problem, and provide a proof-of-concept demonstration of this capability.

* information listed above is at the time of submission.

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