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A Novel Data-Driven Analysis Method for Electromagnetic Radiations Based on Dynamic Mode Decomposition

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Electromagnetic radiations in complex electronic systems such as cell phones and computers are complex spatial–temporal correlations signals. Decomposing the electromagnetic radiation measured in the spatial–temporal domain is useful to gain… Click to show full abstract

Electromagnetic radiations in complex electronic systems such as cell phones and computers are complex spatial–temporal correlations signals. Decomposing the electromagnetic radiation measured in the spatial–temporal domain is useful to gain physical insights into the process that generates radio frequency interference and the radiated spurious emission. In this article, a novel data-driven characterization method is proposed to analyze the electromagnetic radiations of both linear and nonlinear circuits. It employs the dynamic mode decomposition to simultaneously extract the temporal patterns and their corresponding dynamic modes. The temporal patterns show high-order harmonics generated by the nonlinearity. Then, these spatial–temporal coherent patterns provide the physical meaning of the radiation and fast predictions of future states in the circuit and electromagnetic systems. Two benchmarks, including victim and aggressor lines and the Schottky diode, are provided to demonstrate the validity of the proposed new analysis method. Finally, a discussion on the advantages and practical applications of the proposed method is addressed.

Keywords: dynamic mode; data driven; electromagnetic radiations; novel data; mode decomposition; analysis method

Journal Title: IEEE Transactions on Electromagnetic Compatibility
Year Published: 2020

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