Abstract
Radio Frequency devices produce Unintended Electromagnetic Emissions (UEEs). These emissions have been found to be unique from device to device due to small differences in the physical components that make up the device. The property of uniqueness of UEE has been used to detect and identify the device producing the emission. However, UEEs are low power signals often buried within the noise band, which makes them difficult to detect. In this paper, we present a novel approach of the application of Principal Component Analysis (PCA) in detecting UEEs. UEE samples are collected from two RF devices at three different distances of 3 feet, 6 feet and 10 feet using spectrum analyzer. Our approach can detect if these low power signals are UEEs or noise. A decision table based on PCA parameters to detect UEE signals is also proposed.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
