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Cognitive Radar for Maritime/Littoral Surveillance

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-19-C-0033
Agency Tracking Number: N182-117-0332
Amount: $124,992.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N182-117
Solicitation Number: 18.2
Solicitation Year: 2018
Award Year: 2019
Award Start Date (Proposal Award Date): 2018-10-16
Award End Date (Contract End Date): 2020-02-03
Small Business Information
12900 Brookprinter Place, Suite 800
Poway, CA 92064
United States
DUNS: 107928806
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Dr. Joseph Guerci Dr. Joseph Guerci
 Principal Investigator
 (860) 328-1777
Business Contact
 Margaret Latchman-Geller
Phone: (858) 373-2717
Research Institution

Airborne maritime and littoral surveillance radar is facing a growing set of challenges in contested environments due to ever-evolving adversarial technologies and tactics. In addition to potential new evasive tactics, new sophisticated electronic attack (EA) systems are emerging, which further stress the limits of conventional radar architectures. A new approach is required to regain technological superiority in maritime and littoral surveillance, including Synthetic Aperture Radar/Inverse Synthetic Aperture Radar (SAR/ISAR), surface target moving target indicator (SMTI) modes, advanced electronic protection (EP), and periscope detection/target ID.To address these emerging challenges, a new and advanced radar concept has been proposed based on a cognitive fully adaptive radar (CoFAR) architecture developed by ISL. It consists of a knowledge-aided (KA) “sense-learn-adapt” (KA-SLA) architecture to achieve unprecedented real-time situational awareness, coupled with fully adaptive radio-frequency (RF) components such as digital arbitrary waveform generators (DAWGs), solid-state amplifiers, active electronically scanned antennas (AESAs), and state-of-the-art (SoA) high-performance embedded computing (HPEC)—including the leveraging of advanced multi-core general purpose graphical processing units (GP-GPUs), and field programmable gate arrays (FPGAs). In this project, the CoFAR solution will be extended and applied to the AN/APY-10 family of radars to achieve the first cognitive maritime radar (CMR).

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

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