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OPIR Processing Testbed: In-Flight Optimization of New Algorithms (OPTION-A)

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8649-21-P-0678
Agency Tracking Number: FX203-CSO2-1243
Amount: $49,985.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF203-CSO2
Solicitation Number: X20.3
Solicitation Year: 2020
Award Year: 2021
Award Start Date (Proposal Award Date): 2021-04-13
Award End Date (Contract End Date): 2021-07-14
Small Business Information
100 Wall Street
Princeton, NJ 08540-1111
United States
DUNS: 096845169
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Jennifer Wilbur
 (609) 921-3892
Business Contact
 John Scavone
Phone: (609) 921-3892
Research Institution

On-board processing is crucial to the future of warfighting in space. The number of sensors – and the quantity of data collected by each sensor- is increasing to meet the demand for persistent, resilient, and capable global target detection and tracking. Emerging threat capabilities drive the need for super low-latency data transport to the tactical edge and automated decision making. Current downlink data rates cannot keep up with the proliferation of data. Reconfigurable on board processing is the critical warfighting enabler, and, fortunately, the capability of space-qualified hardware is increasing. New SoC systems have faster CPUs and more accelerators like GPGPUs and FPGAs than would have been imaginable five years ago. This hardware can support the computationally intensive advanced algorithms necessary to address the challenge – if you know how to develop for it. SciTec proposes “OPTION-A” – OPIR Processing Testbed: In-Flight Optimization – to demonstrate the necessary technologies and feasibility for a universal development environment on low size, weight, power, and cost (SWAP-C) on-board processing systems. This effort will create a user-friendly OPIR development environment to streamline the on-board development process, allowing for more resources to be spent on developing, tuning, and optimizing OPIR algorithms.

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

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