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

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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.
Funding Information
  • Research Grants Council of Hong Kong (GRF 17209918, GRF 17207114, GRF 17210815)
  • Asian Office of Aerospace Research and Development (FA2386-17-1-0010)
  • National Natural Science Foundation of China (61271158)
  • HKU Seed Fund (104005008, 201711159228)
  • Hong Kong University Grants Committee AoE/P-04/08

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