RF Machine Learning Systems (RFMLS)
Abstract
The RF Machine Learning Systems (RFMLS) program will address the performance limitations of conventional radio frequency (RF) systems such as radar, signals intelligence, electronic warfare, or communications. Currently, the capabilities of these systems are fixed at the time of design and limited by their designer's vision. Conversely, a generic RFMLS system would learn how to reconfigure its circuits and processing to meet the requirements of a desired application in a specific environment. The relevant RF features are hand crafted and human specified today, and would instead be learned through machine learning algorithms applied within the RF system itself. The RFMLS system would later learn to adapt to changing conditions and requirements, making a much more robust RF system solution. This flexibility should reduce the time and cost of continually re-designing and upgrading new systems and extend RF system performance beyond the limits of human designers. RMFLS exploits recent advancements in machine learning that have not previously been applied to RF systems.
Document Details
- Document Type
- Accomplishment
- Publication Date
- Oct 01, 2019
- Source ID
- 5aa360b8e1b70890abd3f26a83866c5a