Advanced modeling and optimization methodologies for design of high-frequency electronic components and subsystems

本研究的目的是开发新的方法，用于无线和有线通信系统中的高频电子元件和封装的建模/优化。在高信号频率下，设备/系统中电磁行为的建模和优化至关重要。随着电磁结构的复杂性增加和优化的应用，该任务在计算上变得禁止。 对于系统中物理/几何参数随机变化的屈服驱动设计，计算难度进一步增加。 拟议的研究将应对这些挑战。 基于我们在微波设计神经网络技术方面的进步，这项研究将在该领域开辟几个新的前沿：使用电磁响应和电磁灵敏度两者的训练算法的新类别，使用动态神经模型的状态空间估计和状态空间训练的非线性设备的行为建模的新类别，基于神经的参数电磁建模的全新公式，利用组件的空间关系。 这项工作将通过基于神经的多学科电气/电磁/热建模和设计得到进一步提升。长期的发展方向是建立一种统一的方法，用于开发基于神经的模型，这些模型可以快速准确地设计下一代高频元件和系统。 长期的影响将是更快的设计周期，更低的设计成本和更好的设计质量。它有助于创造新的知识和高素质的技术人员在高频电子设计领域的培训。在设计RF/微波/毫米波电路、高速电路和封装方面的应用也有助于加强我国高科技经济的竞争力。

The objective of this research is to develop new methodologies for modeling/optimization of high-frequency electronic components and packages in wireless and wireline communication systems. At high signal frequency, modeling and optimization of the electromagnetic behavior in devices /systems are vital. This task becomes computationally prohibitive as the complexity of the electromagnetic structure increase and optimization is applied. For yield-driven design with random variations in physical/geometrical parameters in the system, the computational difficulty is further compounded. The proposed research will address these challenges. Built on top of our advances in neural network technologies for microwave design, this research will open several new frontiers in the area: a new category of training algorithms using both electromagnetic response and electromagnetic sensitivity, a new category of behavioral modeling of nonlinear devices using state-space estimation and state-space training of dynamic neural models, fundamentally new formulations of neural based parametric electromagnetic modeling exploiting spatial relationship of components. The work will be further elevated by neural based multidisciplinary electrical/electromagnetic/thermal modeling and design. The long term direction is towards a unified methodology for developing neural based models that are fast and accurate for design of next generation high-frequency components and systems. The long-term impact will be faster design cycle, lower design cost, and better design quality. It contributes to creating new knowledge and training of highly qualified technical personnel in areas of high-frequency electronic design. Applications in designing RF/microwave/millimeterwave circuits, and high-speed circuits and packages also contribute to strengthening the competitiveness our high-tech economy.