Decomposition of Radiated Disturbances Based on Single-channel Blind Source Separation

Abstract

Radiated disturbances of electronic equipment are a mixture of different source signals. Decomposing the radiated disturbances in the time-domain is useful to gain insights of the process that generates the interference. In this paper, a single-channel blind source separation method based on adaptive sparse time-frequency analysis (ASTFA) and sparse component analysis (SCA) was proposed to decompose the radiated disturbances. Firstly, a signal component is obtained by ASTFA method from the radiated signal. Then, the signal component and the radiated signal form a two-dimensional matrix. Different source signals radiated from the equipment are obtained by using the SCA method on the matrix. A simulation of the electromagnetic interference decomposition is given to verify the effectiveness and accuracy of the proposed method.