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Control & Optimization of Multiple Illumination Characteristics (COMIC) of A Pulsed Fiber Array Laser System For Active Imaging Through Fog

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-18-C-0394
Agency Tracking Number: N18A-021-0246
Amount: $124,911.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N18A-T021
Solicitation Number: 2018.0
Timeline
Solicitation Year: 2018
Award Year: 2018
Award Start Date (Proposal Award Date): 2018-06-04
Award End Date (Contract End Date): 2018-12-04
Small Business Information
711 E Monument Ave Ste 101
Dayton, OH 45402
United States
DUNS: 962006594
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Tom Tumolillo
 (505) 238-1166
 tom@optonicus.com
Business Contact
 Susie Engle
Phone: (937) 286-4819
Email: susie@optonicus.com
Research Institution
 University of Dayton Research Insti
 Claudette Groeber
 
300 College Park
Dayton, OH 45469
United States

 (937) 229-2919
 Nonprofit College or University
Abstract

Degraded weather conditions particularly, dense maritime fog, reduces the US Fleet EO/IR systems ability to maintain situational awareness and detect/identify and track targets of interest. It is the Navys goal to develop an active EO/IR imaging system that jointly optimizes illumination source properties and implements advanced image processing to improve performance and operational range of current technology. Optonicus proposes the Control and Optimization of Multiple Illumination Characteristics (COMIC) of a Pulsed Fiber Array Laser System for Active Imaging Through Fog system as a solution for increased situational awareness, target identification and recognition and target tracking in the presence of dense maritime fog. The COMIC system utilizes a novel pulsed fiber laser array illuminator to allow for optimization of wavelength, pulse shape and coherence, polarization and combined beam illumination profile to provide a ten-fold improvement in operational range over current active imaging systems in degraded weather conditions. In addition, GPU-based wave optics modeling of fog based on current weather conditions can provide a measure of image degradation from forward scatter and attenuation. Subsequent real-time image processing will allow removal of PSF image blur due to dense fog improving target identification, recognition and tracking.

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

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