Simulation and Detection of Unintended Electromagnetic Emissions From Super-Regenerative Receivers

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.