Counter UAS Detection and Discrimination (CU D&D)

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-19-P-2001
Agency Tracking Number: F182-003-1552
Amount: $49,981.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF182-003
Solicitation Number: 2018.2
Timeline
Solicitation Year: 2018
Award Year: 2019
Award Start Date (Proposal Award Date): 2018-11-14
Award End Date (Contract End Date): 2019-11-14
Small Business Information
200 Westside Square, Huntsville, AL, 35801
DUNS: 129074840
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 John Harchanko
 (256) 562-0087
 John.Harchanko@PolarisSensor.com
Business Contact
 Michele Banish
Phone: (256) 562-0087
Email: Michele.Banish@PolarisSensor.com
Research Institution
N/A
Abstract
Countering Unmanned Aerial Systems (C-UAS) is an ever-increasing challenge due to the variety of threat UAS airframes, materials, propulsion types, and control systems.Further, the control systems in particular are continually evolving which complicates detection, identification, and tracking.A robust and reliable means of completing these steps in the kill chain is required.Even significant technology advancements will not substantially change the optical signature of the airframe.Polaris Sensor Technologies thus proposes to enhance the optical signatures over that of standard sensors with polarization sensitive cameras operating in the visible and the infrared as a multi-modal, multi-spectral sensor suite and to implement algorithms that take advantage of the multi-modal sensing for optimal contrast and detection, identification, and tracking performance.The Counter UAS Detection and Discrimation (CU D&D) system is a passive approach with the added sensing mode of polarization that will provide good performance for day and night and for ranges relevant for C-UAS and is future-proof for many technological advances.Polaris will also work vigorously to meet the intent of this Special Topic by engaging the government early to identity relevant programs, customers, and transition paths for the proposed technology.

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

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