A Novel Blind Source Separation Algorithm for Electromagnetic Interference Sources Identification

A novel blind source separation (BSS) algorithm for electromagnetic interference (EMI) sources identification based on data mining is proposed in this paper. Differing from normal analysis, the new algorithm is conducted by mining the internal correlations of radiated emission (RE) data which is obtained by taking standard tests in the far field around the equipment under test (EUT). The results of full wave electromagnetic simulation demonstrate the effectiveness of the proposed algorithm.