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Matrix Research, Inc. SBIR Phase II Award, August 2018

A SBIR Phase II contract was awarded to Matrix Research, Inc in August, 2018 for $749,936.0 USD from the U.S. Department of Defense and United States Air Force.

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Contents

sbir.gov/node/1597723
Is a
SBIR/STTR Awards
SBIR/STTR Awards

SBIR/STTR Award attributes

SBIR/STTR Award Recipient
Matrix Research, Inc
Matrix Research, Inc
0
Government Agency
U.S. Department of Defense
U.S. Department of Defense
0
Government Branch
United States Air Force
United States Air Force
0
Award Type
SBIR0
Contract Number (US Government)
FA8651-18-C-00680
Award Phase
Phase II0
Award Amount (USD)
749,9360
Date Awarded
August 13, 2018
0
End Date
August 13, 2020
0
Abstract

The objective of this effort is to demonstrate target identification for weapons cueing and control using a targeting network of integrated national ISR and satellite assets. In Phase II, we will continue development of the core functions and begin integration into a demonstration of the proposed automated weapon seeker cueing function. We will work with an existing communication system provider to develop methods for sharing targeting information without exceeding the data capacity. Our systems of systems method will connect shared representations across all levels of integration. In particular, our representation is typically much lower dimensionality than the sensing measurements space, and the benefit is greatly reduced bandwidth requirements. Furthermore, our representation will be constructed across multiple sensing modalities to enable identification from different sensor typesin particular, we will consider radar modes in Phase II. Offline and online learning will be combined to produce methods that can extrapolate new views, conditions, and modalities from captured views of a previously unseen target. Finally, we propose extending our representation with methods to enhance foreground-background separation and to enable recognition by parts. Together, these methods focus on the joint inference aspects of joint inference and control.

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