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Minimization of In-Band Interferers on Airborne Anti-Submarine System Performance

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-19-C-0034
Agency Tracking Number: N182-116-0489
Amount: $124,994.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N182-116
Solicitation Number: 2018.2
Solicitation Year: 2018
Award Year: 2019
Award Start Date (Proposal Award Date): 2018-10-19
Award End Date (Contract End Date): 2019-04-15
Small Business Information
11350 Random Hills Road, Fairfax, VA, 22030
DUNS: 784255809
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: Y
Principal Investigator
 Sam Pascarelle
 (443) 917-4523
Business Contact
 Howard Reichel
Phone: (703) 592-1866
Research Institution
Coordinated Anti-Submarine Warfare (ASW) tactical operations frequently hinge upon the ability of our airborne assets to detect, classify, localize and prosecute enemy submarines who possess formidable offensive and defensive capabilities. This is becoming increasingly difficult as enemy assets get quieter and the acoustic environment becomes increasingly crowded. The Navys airborne ASW passive and active sensor systems must contend with friendly sonar system interference, non-cooperative in-band signal interferers, commercial active sonar signals, environmental noise, and biologics which all contribute to unacceptable performance losses. In-Depth Engineering Corporation proposes the Cortical Location and Elimination of Acoustic Noise (CLEAN) solutionan innovative, software-only acoustic noise removal algorithm based on a model of the early stages of sound analysis that occurs in the primary auditory cortex of the brain of a mammal. The CLEAN solution is designed to isolate disparate sources of sounds in a high-dimensional representation of a noisy acoustic signal and to remove the noise, providing a clean version of the original signal. The CLEAN algorithm mimics the ability of mammals to tune their acoustic receptive fields in order to attend to one sound over other competing sounds.

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

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