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Counter-UAS Novel Testbed and Enhanced Radar (CoUNTER)

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911NF-22-P-0052
Agency Tracking Number: A21C-T009-0475
Amount: $172,904.00
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): 2022-08-01
Award End Date (Contract End Date): 2023-01-31
Small Business Information
1114 Corto Camino Ontare
Santa Barbara, CA 93105-1914
United States
DUNS: 117158465
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Dan Green
 (704) 578-2545
Business Contact
 Dan Green
Phone: (704) 578-2545
Research Institution
 Michigan State University
 Amanda Blank
426 Auditorium Road, Room 2
East Lansing, MI 48824-2600
United States

 (517) 884-7433
 Nonprofit College or University

PseudolithIC Inc. and Michigan State University (MSU) are pleased to offer the CoUNTER proposal to address the threat posed by the proliferation of Unmanned Aerial Systems (UASs) with a codesigned hardware-signal processing approach. This proposal combines the benefits of mm-Wave signals, advanced MIMO architectures and novel micro-Doppler signal processing to deliver superior active radar performance for this mission. The use of COTS silicon chips, such as those used in automotive radars at 77 GHz, are exploited to dramatically lower system cost.  PseudolithIC will leverage its proprietary technology to augment the COTS performance via a commercialized heterogeneous integration process to realize chip scale mm-Wave solutions that combine the analog performance of compound semiconductors with the cost and digital integration of silicon circuits. Additionally, the team will incorporate the advanced radar signal processing capabilities of the MSU team to deliver a comprehensive solution with a compelling combination of radar performance and affordability.  More specifically, the CoUNTER solution will realize an integrated radar system that incorporates the three key features of (1) low-cost, high-power mm-Wave aperture enabled by PLIC’s proprietary integration technology augmenting COTS radar chips, (2) high performance discrimination software built from the demonstrated performance of MSU micro-Doppler techniques and machine learning algorithms (>90% accuracy demonstrated), and (3) an integrated testbed to provide quantitative analysis of system design and accelerate machine learning process for correlating model and experiment.  Finally, the PseudolithIC team will integrate the hardware and software into a complete radar system solution.

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

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