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Propagation Established through Autonomous Raman Lidar (PEARL)

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-19-C-0541
Agency Tracking Number: N19A-015-0200
Amount: $140,000.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N19A-T015
Solicitation Number: 19.A
Solicitation Year: 2019
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-06-07
Award End Date (Contract End Date): 2019-12-04
Small Business Information
4 Fourth Avenue
Burlington, MA 01803
United States
DUNS: 047627732
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Dr. Alexander Berk Dr. Alexander Berk
 Principal Scientist
 (781) 273-4770
Business Contact
 Marsha J. Fox
Phone: (781) 273-4770
Research Institution
 California State University, Maritime Academy
 Dr. Kaylan Randolph Dr. Kaylan Randolph
200 Maritime Academy Drive
Vallejo, CA 04590
United States

 (707) 654-1106
 Nonprofit College or University

Accurate characterization of and propagation modeling through the Marine Boundary Layer is critical for maximizing Electro-Magnetic (EM) systems signal exploitation for naval asset offensive, defensive, and stealth operational performance. Strong temperature and humidity gradients in the Surface Boundary Layer lead to optical paths exhibiting Electro-Optic Infrared (EOIR) anomalous refraction and radio frequency (RF) surface ducting. Homogeneity breaks down near the surface due to wave-induced effects, greatly impeding simulation of EM propagation. Unfortunately, naval prediction requirements for near surface EM propagation have yet to be met. The challenge of evaluating the performance of optical and radar sensors in finding, identifying, and tracking airborne targets could only be met by integrating state-of-the-art propagation modeling with continuous collection of atmospheric characterization data. Our team proposes to develop a Maritime Electromagnetic-propagation Tool–Set (MET – Set) that combines a metrological Marine Wave Boundary Layer (MWBL) atmospheric model, Raman Lidar data, EM propagation, and visualization software, and uses compact LIDAR technology to estimate MWBL beam propagation performance. In Phase I, a base set of air-sea interface sensors will be deployed on an Unmanned Sea Vehicle for multiple day test launches to demonstrate a 24/7 validation field measurement capability.

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

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