Statistical Analysis and Synthesis of Unintended Electromagnetic Emission Spectra from Diesel Vehicles

To synthesize the unintended electromagnetic emission (UEE) signals from diesel vehicles, the measured electromagnetic compatibility (EMC)/electromagnetic interference (EMI) data were categorized into three types based on their spectral characteristics and analyzed statistically. The assumption that the spectral fluctuation probability distribution function followed a normal distribution was validated using quantile-quantile plots. Subsequently, the magnitude of the fluctuation (standard deviation) was predicted for each frequency interval, and this information was used to synthesize the spectrum of the UEE signal. The proposed technique can be employed to secure the large-scale electromagnetic emission spectrum datasets required for machine learning applications.