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Advanced Jam-Resistant Radar Waveforms

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-22-C-0421
Agency Tracking Number: N221-012-0623
Amount: $140,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N221-012
Solicitation Number: 22.1
Solicitation Year: 2022
Award Year: 2022
Award Start Date (Proposal Award Date): 2022-07-26
Award End Date (Contract End Date): 2023-01-17
Small Business Information
3527 Beverly Glen Blvd.
Sherman Oaks, CA 91423-1111
United States
DUNS: 124668711
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Timur Chabuk
 (571) 235-5720
Business Contact
 Elan Freedy
Phone: (703) 200-4104
Research Institution

This proposal is to develop an innovative system for Opportunistic Selection and Waveform Adaptation (OSWA) to resist adversary jamming. Our team is exceptionally well qualified to execute this project. Perceptronics Solutions has decades of experience with artificial intelligence (AI) and machine learning (ML) that include applying these methods to cognitive electronic warfare. Our subcontractor Spear Research is a highly experienced defense firm specializing in electronic warfare systems. As electronic warfare systems become increasingly sophisticated, many current radar systems are vulnerable to electronic attacks such as barrage noise and deceptive jamming. The OSWA system leverages the flexibility and computational resources o modern software controlled radar systems to overcome these kinds of attacks. Specifically, OSWA uses artificial intelligence and machine learning to intelligently select and adjust jam resistant waveforms during operation in response to real time feedback of waveform effectiveness and adversary behavior. Phase I of this project will culminate in a proof of concept demonstration in which jam-resistant waveforms are continually adapted and modified to overcome electronic attack using a combination of expert crafted rules and reinforcement learning. The OSWA technical approach combines cutting-edge algorithms for machine learning with our team’s extensive experience in signal processing and EW hardware systems.

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

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