Flexible Multi-sensor Tracking and Fusion Suite

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8750-11-C-0142
Agency Tracking Number: F103-064-1326
Amount: $99,999.00
Phase: Phase I
Program: SBIR
Awards Year: 2011
Solicitation Year: 2010
Solicitation Topic Code: AF103-064
Solicitation Number: 2010.3
Small Business Information
1235 South Clark Street, Suite 400, Arlington, VA, -
DUNS: 036593457
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Doug Ratay
 Senior Engineer
 (703) 682-1514
 douglas.ratay@dac.us
Business Contact
 Kelly McClelland
Title: VP, Administration
Phone: (703) 414-5024
Email: kelly.mcclelland@dac.us
Research Institution
 Stub
Abstract
ABSTRACT: We propose to create a multi-sensor, multi-wavelength tracking and fusion algorithm to be used for precise tracking of space objects. The algorithm developed within this work will incorporate overlapping measurements from both Electro-Optical and Radio Frequency sensors. We will base this tracking and fusion algorithm on a flexible framework developed by DECISIVE ANALYTICS Corporation for previous tracking problems within the Ballistic Missile Defense context. Our framework is able to cleanly and effectively handle the non-linear effects of including many different sensors in different locations. We will update our algorithms to be able to handle known and unknown sources of sensor bias and failure due to environmental or internal causes. We will utilize an advanced state propagation method which will allow us to make more principled state prediction claims than other traditionally utilized tracking algorithms. BENEFIT: Recent years have seen a proliferation in the number of space objects as well as in the number of sensors used to track those space objects. To keep a handle on the position and action of the vast array of non-cooperative space objects, it has become important to link together the measurements from a diverse set of sensors. These sensors are spread both geographically and in wavelength coverage. New tracking algorithms are needed to fuse the data from these sensors into one single integrated picture of the space environment, while accounting for the technical difficulties of obtaining measurements from equipment not originally designed to work together. The algorithms presented in this proposal are designed to advance the state of the art in multi-sensor tracking and fusion by seamlessly joining the results of different sensors and accounting for sensor bias and failure. Through our past partnerships with large prime contractors, we are confident that we will be able test, evaluate, and integrate these tracking and fusion algorithms into an operational radar system.

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

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