Abstract:
A novel blind source separation (BSS) algorithm for electromagnetic interference (EMI) sources identification based on data mining is proposed in this paper. Differing fr...Show MoreMetadata
Abstract:
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.
Published in: 2021 International Applied Computational Electromagnetics Society (ACES-China) Symposium
Date of Conference: 28-31 July 2021
Date Added to IEEE Xplore: 08 November 2021
ISBN Information:
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