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Adaptive Tasking of Radar and Optical Sensors

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
72785
Program Year/Program:
2005 / SBIR
Agency Tracking Number:
F051-025-0896
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Black River Systems Company, Inc.
162 Genesee Street Utica, NY 13502-
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2005
Title: Adaptive Tasking of Radar and Optical Sensors
Agency / Branch: DOD / USAF
Contract: FA8718-05-C-0045
Award Amount: $99,990.00
 

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.

Principal Investigator:

Peter J. Shea
Principal Investigator
3157327385
shea@brsc.com

Business Contact:

Michael Krumme
Vice President
3157327385
krumme@brsc.com
Small Business Information at Submission:

BLACK RIVER SYSTEMS CO., INC.
162 Genesee Street Utica, NY 13502

EIN/Tax ID: 161515846
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No