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.

中文翻译：

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基于动态模式分解的电磁辐射数据驱动分析新方法

手机和计算机等复杂电子系统中的电磁辐射是复杂的时空相关信号。分解在时空域中测量的电磁辐射有助于深入了解产生射频干扰和辐射杂散发射的过程。在本文中，提出了一种新的数据驱动表征方法来分析线性和非线性电路的电磁辐射。它采用动态模式分解同时提取时间模式及其相应的动态模式。时间模式显示由非线性产生的高次谐波。然后，这些时空相干模式提供了辐射的物理意义以及电路和电磁系统中未来状态的快速预测。提供了两个基准，包括受害者和攻击者线以及肖特基二极管，以证明所提出的新分析方法的有效性。最后，讨论了所提出方法的优点和实际应用。