Abstract
A novel method for detecting the presence of the unintended electromagnetic emissions (UEE) from radio receivers is examined without a priori data or training. As an extension of previous research, the behavior of the super-regenerative receiver (SRR) is modeled and simulated with fractional Brownian noise to verify the detection model. This model shows that the presence of noise in the feedback circuit of the SRR is responsible for the characteristic frequency distribution of the receiver's UEE. A second-order self-similarity model is used to estimate the Hurst parameter as a detection threshold for the presence of long-range dependent noise that is a characteristic of the SRR feedback circuit. The method is compared to a typical threshold method and is shown to be a significant improvement in the accuracy of detection. © 1963-2012 IEEE.
Recommended Citation
J. Hertenstein and S. Jagannathan, "Simulation and Detection of Unintended Electromagnetic Emissions from Super-regenerative Receivers," IEEE Transactions on Instrumentation and Measurement, vol. 62, no. 7, pp. 2093 - 2100, article no. 6481445, Institute of Electrical and Electronics Engineers, Mar 2013.
The definitive version is available at https://doi.org/10.1109/TIM.2013.2248290
Department(s)
Electrical and Computer Engineering
Second Department
Computer Science
Keywords and Phrases
Hurst parameter; passive stand-off detection; self-similarity; super-regenerative receivers (SRR); unintended electromagnetic emissions (UEE)
International Standard Serial Number (ISSN)
0018-9456
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
26 Mar 2013
