Abstract

Electromagnetic emissions were measured from several radio receivers to demonstrate the possibility of detecting and identifying these devices based on their unintended emissions. Radiated fields from the different radio receivers have unique characteristics that can be used to identify these devices by analyzing time-frequency plots of measured radiation. A neural network was also developed for automated device detection.

Meeting Name

2005 International Symposium on Electromagnetic Compatibility, EMC 2005 (2005: Aug. 8-12, Chicago, IL)

Department(s)

Electrical and Computer Engineering

Research Center/Lab(s)

Electromagnetic Compatibility (EMC) Laboratory

Keywords and Phrases

Automated Device Detection; Electromagnetic Emissions; Electromagnetic Waves; Electronic Devices; Neural Nets; Neural Network Detection; Radio Receivers; Time-Frequency Plots; Unintended Emissions; Cross-correlation; Detection; Neural network

International Standard Book Number (ISBN)

0-7803-9380-5

International Standard Serial Number (ISSN)

2158-110X

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 2005 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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