Radiation Emitter Classification and Identification Approach Based on Radiation Emission Components

Abstract

An electronic system generates a large number of intended or unintended electromagnetic radiated emissions in its operating state, which can lead to potential electromagnetic compatibility (EMC) problems. To avoid the impact of these electromagnetic radiation emissions on the surrounding electronic equipment or systems, it is necessary to classify and identify these radiation emitters. In this paper, we proposed a systematic approach for radiation emitter classification and identification based on radiation emission components. Inspired by the basic emission waveform theory (BEWT), the radiation emission data of electronic systems are decomposed into three kinds of radiation emission components, and the different groups of radiation emission data can be classified or identified according to the similarity of these radiation emission components. The radiation emission (RE) spectral data of several kinds of electronic equipment, such as laptops and digital cameras, were used to verify the proposed method. The classification and identification accuracy for data corresponding to different kinds of radiation emission spectra was about 99%, which confirmed the effectiveness of this method.