RF Machine Learning Systems (RFMLS)

Abstract

The RF Machine Learning Systems (RFMLS) program is addressing the performance limitations of conventional radio frequency (RF) systems such as radar, signals intelligence, electronic warfare, and communications. The performance of future RF systems in the DoD will be defined by their ability to adapt and respond to their environment in real-time. We currently lack both the algorithms and computational power to manage the volume of data and complexity of decision-making that will be required. RFMLS technology will develop machine learning techniques that are able to help manage this complexity by, for example, recognizing specific emitters or detecting anomalies in a cluttered environment. The objective of the RFMLS program is to both develop these foundational technologies and to apply them to relevant DoD systems.

Document Details

Document Type
Accomplishment
Publication Date
Oct 01, 2021
Source ID
5d497eee6e1920bcc0765d302f0d96e1

Tags

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Neural Network Machine Learning.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Neural Networks
  • Microelectronics

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