Novel Computing for Streaming Radio Frequency in Low Size, Weight and Power Environments
AI Overview
The Navy seeks an ultra-compact, low-power computational engine (under 1 lb, 150W) that can process high-bandwidth radio frequency sensor data in real-time for small unmanned platforms. This technology enables rapid RF detection and classification at the tactical edge where network constraints make onboard processing critical.
This summary is AI-generated from the official solicitation.
Key Details
Official Description
Today’s electronic processing technology is not keeping pace with the DOW’s computational demands. Growing networks of new higher resolution and higher fidelity sensors yield vast quantities of data, and deep neural networks are being deployed to reduce these data streams to actionable information for the warfighter. Concurrently, the constraints imposed by network capacity, latency, and data security are driving this sensor processing to the tactical and network edge where the data is collected...
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