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Charles River Analytics, Inc. SBIR Phase I Award, July 2020

A SBIR Phase I contract was awarded to Charles River Analytics in July, 2020 for $149,993.0 USD from the U.S. Department of Defense and United States Navy.

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Contents

sbir.gov/node/1925683
Is a
SBIR/STTR Awards
SBIR/STTR Awards

SBIR/STTR Award attributes

SBIR/STTR Award Recipient
Charles River Analytics
Charles River Analytics
0
Government Agency
U.S. Department of Defense
U.S. Department of Defense
0
Government Branch
United States Navy
United States Navy
0
Award Type
SBIR0
Contract Number (US Government)
N68335-20-C-06980
Award Phase
Phase I0
Award Amount (USD)
149,9930
Date Awarded
July 9, 2020
0
End Date
December 14, 2020
0
Abstract

Unmanned vehicles and platforms can keep people out of harm’s way, but they are often put into situations where necessary communications are disrupted, limited, or overloaded. Unmanned platforms must often have close-to-real-time or time-critical information to be successful. Researchers are constantly advancing the reliability of communication links. However, these advancements can be unreliable due to several factors, including active denial, infrastructure failure, degradation of service, and/or environmental impacts. Improvements in communication link redundancy, availability, and usage optimization is necessary. One possible solution is to install more communication modems, antennas, radios, and other hardware. However, installing additional hardware is often not feasible due to size, weight, and power (SWAP) constraints and limitations, and poses logistical, maintenance, and procurement challenges. Instead, a software solution can leverage existing hardware to overcome communication challenges. This can be achieved through autonomous management of configuration (e.g., adjusting transmission power, changing RF frequencies), recovery behaviors (e.g., reestablishing link connections, rotating directional antenna), bandwidth optimization (e.g., focusing on mission-critical information), and information delivery via relay nodes. To address these challenges, Charles River Analytics proposes to develop Management of Autonomous Links (MAIL). MAIL is a software tool to adaptively manage information exchange and communication links using expert systems and an adaptive behavior-based approach. MAIL will autonomously optimize network usage according to the Commander’s Intent and take action to restore communications when one or more link is disrupted.

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