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High Performance Computing for DEAP Imaging through Atmospheric Turbulence

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9451-18-P-0250
Agency Tracking Number: F18A-006-0029
Amount: $149,998.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: AF18A-T006
Solicitation Number: 2018.0
Solicitation Year: 2018
Award Year: 2018
Award Start Date (Proposal Award Date): 2018-08-07
Award End Date (Contract End Date): 2019-05-07
Small Business Information
1281 Win Hentschel Blvd
West Lafayette, IN 47906
United States
DUNS: 079405550
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Charles Bouman
 (765) 494-0340
Business Contact
 Sherman Kisner
Phone: (765) 276-7776
Research Institution
 Purdue University
 Charles Bouman
155 South Grant Street
West Lafayette, IN 47907
United States

 (765) 494-0340
 Nonprofit College or University

Previous research indicates the digital holography (DH) methods when combined with model-based iterative reconstruction can solve the challenging problems posed by the need to image through deep turbulence real time. In this Phase I STTR research, we propose to analyze and design a high-performance computing system and associated Deep-turbulence Estimator for Anisoplanatic Propogation (DEAP) algorithm for real-time imaging through turbulence. Key challenges will be to achieve the bandwidth and latency required for both ISR/imaging applications and wave front estimation for close-loop adaptation of optical systems while also meeting practical weight, power, size, and cost constraints. Our proposed Phase I approach is to study the computation and memory performance and requirements of CPU, GPU, FPGA systems, and use this information to design an optimized system that can meet Air Force requirements. Our goal is than to use the resulting design for implementation of an operational system as part of a potential Phase II effort.

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

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