A novel electromagnetic radiated emission source identification methodology

Abstract

The proposed novel electromagnetic radiated emission source identification method is based on Independent Component Analysis (ICA). The identification is conducted by processing a suitable number of radiated spectrum data which is obtained by measurements at different points around equipment under test (EUT). Using specific kurtosis-based ICA algorithm, we can not only distinguish EUT's radiated emission from ambient electromagnetic noise, but also can extract emission feature of different radiation sources. Using correlated coefficient of extracted signal and original signal to investigate the accuracy of proposed method, the value can at least reach 0.98 and 0.72 for simulation and measurement data analysis respectively; feasibility and effectiveness of proposed method were verified by such good results.