Technology Enablers for Layered Sensing

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$95,392.00
Award Year:
2008
Program:
SBIR
Phase:
Phase I
Contract:
FA8650-08-M-1351
Award Id:
86664
Agency Tracking Number:
F073-078-1358
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
6800 Cortona Drive, Goleta, CA, 93117
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
054672662
Principal Investigator:
Gaemus Collins
Analyst
(805) 968-6787
gcollins@toyon.com
Business Contact:
Marcella Lindbery
Director of Finance and Contracts
(805) 968-6787
mlindbery@toyon.com
Research Institution:
n/a
Abstract
Toyon Research Corporation and University of California, Santa Barbara (UCSB) propose to develop and demonstrate key technological enablers for effective layered sensing to optimally employ Intelligence, Surveillance, Reconnaissance (ISR) sensors and platforms. A wide variety of new sensor and platform types, along with much of the infrastructure necessary to exploit the resultant data, form a "layered sensing" architecture. We propose to develop technologies that bring together the pieces of this architecture to form a working system, with the ability to acquire, process, analyze, and propagate actionable data, that is effective in a highly dynamic battlespace. This effort will make key advancements in several enabling technology areas: (1) sensor and platform resource management to provide automated routing, mode management, and sensor cross-cueing to optimize the use of available resources; (2) geo-location/geo-registration methods and algorithms to accurately fix objects/events in time and space through knowledge of platform and sensor position, velocity and time; (3) intelligent bandwidth utilization to provide maximum benefit from available communication networks; (4) improved target surveillance and tracking performance, with higher accuracy target position estimates and longer track lifetimes through target handoff between multiple sensors; (5) leveraging phenomenological diversity by fusing radar and electro-optic data into a single tracking system; (6) distributed control algorithms for sensor system self-organizing, to get the best possible information to the right place at the right time; and (7) wind compensation algorithms into UAV resource management to improve performance in extended weather conditions.

* information listed above is at the time of submission.

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