Detection of RF Devices Based on Their Unintended Electromagnetic Emissions using Principal Components Analysis

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.

Meeting Name

12th Annual Wireless Telecommunications Symposium: Global Wireless Communications - Future Directions, WTS 2013 (2013: Apr. 17-19, Phoenix, AZ)

Department(s)

Engineering Management and Systems Engineering

Keywords and Phrases

Detection of RF Devices; Principal Components Analysis; Unintended Electromagnetic Emissions

International Standard Book Number (ISBN)

978-1-4673-5011-2; 978-1-4673-5013-6

International Standard Serial Number (ISSN)

1934-5070

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2013 Institute of Electrical and Electronics Engineers Inc. (IEEE), All rights reserved.

Publication Date

01 Apr 2013

Link to Full Text

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