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Technology Service Corporation SBIR Phase I Award, May 2018

A SBIR Phase I contract was awarded to Technology Service Corporation in May, 2018 for $149,851.0 USD from the U.S. Department of Defense and United States Army.

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Contents

sbir.gov/node/1599607
Is a
SBIR/STTR Awards
SBIR/STTR Awards

SBIR/STTR Award attributes

SBIR/STTR Award Recipient
Technology Service Corporation
Technology Service Corporation
0
Government Agency
U.S. Department of Defense
U.S. Department of Defense
0
Government Branch
United States Army
United States Army
0
Award Type
SBIR0
Contract Number (US Government)
W56KGU-18-C-00360
Award Phase
Phase I0
Award Amount (USD)
149,8510
Date Awarded
May 22, 2018
0
End Date
January 16, 2020
0
Abstract

Denial of Global Navigation Satellite Systems for aircraft navigation in a Degraded Visual Environment (DVE) has a significant impact on military missions. To address this, TSC proposes to develop an image-based navigation system that exploits an onboard, forward-looking millimeter wave (W-band) radar. In Phase I, TSC will investigate two different image-based navigation concepts: One will correlate W-band radar images collected in real-time with previous radar scans to correct the drift in the INS solution. The second concept will correlate the W-band images with non-like source, geo-referenced imagery collected using other radar or EO/IR sensors or digital databases. The Phase I focus will be developing and testing innovative algorithms to automatically establish tie-points between the real-time W-band radar images and reference imagery, and solving for the aircraft position/attitude. The planned work includes extending a previously developed multi-sensor, rotational- and scale-invariant image registration technique that worked well. TSC will simulate realistic W-band data to evaluate the feature matching and navigation accuracy that can be obtained. In the Option effort, TSC will refine the most promising algorithms and evaluate them over a wider range of conditions. In Phase II, TSC will implement near-real-time processing software and demonstrate the algorithms on measured W-band data.

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