Detection of unintended electromagnetic emissions from super-regenerative receivers

The characteristics of unintended electromagnetic emissions from radio receivers are examined and we propose a novel method for detecting the presence of these emissions without a priori data or training. The chaotic properties of the internal oscillators from the radio receivers are modeled and used to detect the device emissions. A second-order self-similarity model is used to estimate the Hurst parameter as a detection threshold. The method is compared to a typical threshold method and is shown to be a significant improvement in the accuracy of detection. Upon detection, the received signal strength can be used to locate the device.

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