Developing advanced communications, signals and measurements for stronger systems
The RF Communications and Intelligent Systems (RFCIS) Group provides robust wireless communications and networking technologies and strategies, signal signature learning systems, and RF-based measurement systems in support of ORNL's energy, environment, and national security programs.
Research in the RFCIS group is focused on developing new technologies, methods, and systems for RF-related applications. Areas of focus include robust and low-power communications, analysis of RF interference and spectrum usage, signature discovery and detection, and intelligent signal processing using emerging machine learning methods. Current RFCIS research is supporting the security and efficiency of the nation’s energy grid through EM interference analysis, wireless sensor deployment, and low-power wireless communications for solar-powered building sensors. Our group supports ongoing research at ORNL’s Vehicle Security Center by conducting robust measurements of vehicle communications and RF emanations using software-defined radios. We are developing new methods for detection of RF communications and signatures for national security applications through advances in time-frequency signal processing techniques, machine learning-based signature discovery, spectral shape and harmonic analysis, and protocol identification.