Adaptive Tasking of Radar and Optical Sensors

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$741,870.00
Award Year:
2006
Program:
SBIR
Phase:
Phase II
Contract:
FA8718-06-C-0021
Agency Tracking Number:
F051-025-0896
Solicitation Year:
2005
Solicitation Topic Code:
AF05-025
Solicitation Number:
2005.1
Small Business Information
BLACK RIVER SYSTEMS COMPANY, INC.
162 Genesee Street, Utica, NY, 13502
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
111305843
Principal Investigator:
Peter Shea
Principal Investigator
(315) 732-7385
shea@brsc.com
Business Contact:
Michael Krumme
Vice President
(315) 732-7385
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. During the Phase I effort we have demonstrated the ability to automatically task and schedule sensors using generic tasks using a genetic algorithm approach. This proof of concept work has shown an ability to schedule multiple sensors simultaneously. Our Phase II effort will continue to develop this approach for solving the adaptive sensor tasking problem. As part of our Phase II effort, we will continue to add realism to the problem by increasing the complexity of the problem scenarios and using more detailed sensor and environmental models. Additionally, we will continue to evolve the genetic algorithm approach to account for these sensor characteristics as well as to deal with additional sensor modalities and environmental factors.

* information listed above is at the time of submission.

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