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Millimeter-wave MIMO Radar for UAS Tracking

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911NF-22-P-0017
Agency Tracking Number: A21C-T009-0288
Amount: $173,000.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: A21C-T009
Solicitation Number: 21.C
Solicitation Year: 2021
Award Year: 2022
Award Start Date (Proposal Award Date): 2022-04-20
Award End Date (Contract End Date): 2022-10-19
Small Business Information
6800 Cortona Drive
Goleta, CA 93117-3021
United States
DUNS: 054672662
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 David Boutte
 (805) 968-6787
Business Contact
 Marcella Lindbery
Phone: (805) 968-6787
Research Institution
 Duke University
 Keith Owen
2200 West Main Street
Durham, NC 27705-4677
United States

 (919) 681-8687
 Nonprofit College or University

Small unmanned aerial systems (sUASs) are quickly emerging as low-cost attritable aerial platforms for hostile reconnaissance, targeting, weapon delivery, and other purposes. Unlike legacy air targets, small unmanned aerial systems fly at low altitude, are easily masked by terrain features, often fly at relatively low velocities that render many forms of Doppler and time/frequency radar exploitation less effective, and produce small radar signatures due to their small sizes. Commercial market forces support an explosive future for sUASs platforms with increasing capability, decreasing cost, and increasing proliferation. There is a critical need to detect, classify, and track these platforms in cluttered urban environments with sufficient time to allow interdiction. To address this need, Toyon along with our university partner, proposes to leverage existing high-power millimeter-wave multiple input, multiple output (MIMO) transceiver technology. This technology will be paired with state-of-the-art tracking algorithms and artificial intelligence (AI) to provide a small and robust Ka-band radar capability for detection, classification, and tracking. At the conclusion of this proposed effort, the Toyon team will have developed preliminary hardware, software, and algorithmic designs leveraging existing work and will have demonstrated the feasibility of providing high-confidence tracks of small unmanned aerial systems using simulated and laboratory measurements.

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

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