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Advanced Sensor Data Fusion

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: W9113M-07-C-0233
Agency Tracking Number: B074-004-0081
Amount: $986,171.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: MDA07-T004
Solicitation Number: N/A
Solicitation Year: 2007
Award Year: 2009
Award Start Date (Proposal Award Date): 2009-03-11
Award End Date (Contract End Date): 2011-03-07
Small Business Information
75 Aero Camino, Suite A
Goleta, CA 93117
United States
DUNS: 153927827
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Gary Key
 Principal Investigator
 (321) 277-8396
Business Contact
 Rhonda Adawi
Title: Contracts Manager
Phone: (805) 685-6672
Research Institution
 University of Florida
 Roslyn Oleson
POB 116550 339 Weil Hall
Gainesville, FL 32611
United States

 (352) 392-9447
 Nonprofit College or University

Frontier Technology, Inc. (FTI) and its research partner, University of Florida (UF), propose to update and implement theory, algorithms, and software for fusion of multi-sensor (e.g., RADAR and EO) datastreams, to provide enhanced acquisition, tracking, and discrimination of threat objects in a cluttered multi-target environment. We propose to enhance/extend our successful Phase-I technology to support: (a) Parallel application of multiple classifiers to RADAR and/or EO/IR sensor data to identify probable target type/ track/location; (b) Processing of partial classification results in pattern space, for efficiency and visibility to developers, to produce refined classifier results that fuse multiple sensor datastreams; (c) Adaptation of classifiers and pattern-space processing to track targets given nonergodic (statistically changing) inputs; (d) Analysis of complexity and performance on several processor system architectures, with best-performance implementation on a hardware system. Phase II will utilize adaptive pattern selection and pattern-space processing to develop, test, and verify prototype data fusion / target classification algorithms that incorporate partially-corrupted signatures and will also produce a prototype hardware implementation. FTI has provided additional details of the technology to Mr. David Hangsleben, MDA/CCBMC, and Mr. Donald Drouin, Technology Integration Manager for the Boeing Company. Both gentlemen expressed interest and a desire for continued updates.

* Information listed above is at the time of submission. *

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