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Propagation Established through Autonomous Raman Lidar (PEARL)
Title: Principal Scientist
Phone: (781) 273-4770
Email: lex@spectral.com
Phone: (781) 273-4770
Email: mfox@spectral.com
Contact: Dr. Kaylan Randolph Dr. Kaylan Randolph
Address:
Phone: (707) 654-1106
Type: 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. *