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Target-In-The-Loop Sensing Suite for Long-Range Atmospheric Effects Characterization

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9451-17-P-0532
Agency Tracking Number: F17A-008-0111
Amount: $149,773.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: AF17A-T008
Solicitation Number: 2017.0
Timeline
Solicitation Year: 2017
Award Year: 2017
Award Start Date (Proposal Award Date): 2017-08-25
Award End Date (Contract End Date): 2018-05-28
Small Business Information
711 E Monument Ave Ste 101, Dayton, OH, 45402
DUNS: 962006594
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Svetlana Lachinova
 Senior Researcher
 (301) 509-1992
 svetlana@optonicus.com
Business Contact
 Tom Tumolillo Jr
Phone: (505) 238-1166
Email: tom@optonicus.com
Research Institution
 University of Dayton
 Claudette Groeber
 300 College Park,
Dayton, OH, 45469
 (937) 229-2919
 Nonprofit college or university
Abstract
This project offers a novel polychromatic target-in-the-loop atmospheric sensing (TILAS) concept for in situ characterization of the combined effects of atmospheric turbulence, refractivity, transmittance, and optical path difference (piston phase) over long-range, low elevation angle atmospheric paths. The proposed concept allows practical implementation of a modular compact TILAS atmospheric sensor suite for continuous atmospheric characterization along dynamically changing lines-of-sight to space and/or ground-based objects. The TILAS concept is based on active illumination of a remotely located object (in the atmosphere or in space) using a specially designed laser transceiver system that operates with multiple optical wavelengths, and measurements of selected characteristics of the backscattered light. The Phase I effort includes TILAS concept development, preliminary proof-of-concept atmospheric experiments, wave-optics simulations, and numerical analysis of large-scale atmospheric effects using a computational fluid dynamics-based Weather Research Forecast (WRF) computations.

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

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