Technology Enablers for Layered Sensing

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-08-M-1351
Agency Tracking Number: F073-078-1358
Amount: $95,392.00
Phase: Phase I
Program: SBIR
Awards Year: 2008
Solicitation Year: 2007
Solicitation Topic Code: AF073-078
Solicitation Number: 2007.3
Small Business Information
6800 Cortona Drive, Goleta, CA, 93117
DUNS: 054672662
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Gaemus Collins
 Analyst
 (805) 968-6787
 gcollins@toyon.com
Business Contact
 Marcella Lindbery
Title: Director of Finance and Contracts
Phone: (805) 968-6787
Email: 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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