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

用于高频电子元件和子系统设计的先进建模和优化方法

• 批准号: 122049-2009
• 负责人: Zhang, QiJun
• 金额: $ 4.31万
• 依托单位: Carleton University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=569249
• 关键词: Advanced; modeling; optimization; methodologies; design

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.

这项研究的目的是为无线和有线通信系统中的高频电子元件和组件的建模/优化开发新的方法。在高信号频率下，对设备/系统中的电磁行为进行建模和优化至关重要。随着电磁结构复杂性的增加和优化的应用，这项任务变得在计算上变得困难起来。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。 拟议的研究将解决这些挑战。这项研究建立在我们在微波设计的神经网络技术上的进展的基础上，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的新类别的训练算法，使用状态空间估计和动态神经模型的状态空间训练的非线性设备的行为建模的新类别，利用组件的空间关系的基于神经的参数电磁建模的根本新公式。这项工作将通过基于神经的多学科电气/电磁/热学建模和设计而进一步提升。长期的方向是朝着开发基于神经的模型的统一方法前进，这些模型对于下一代高频部件和系统的设计是快速和准确的。 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。它有助于在高频电子设计领域创造新的知识和培训高素质的技术人员。在设计射频/微波/毫米波电路以及高速电路和封装方面的应用也有助于增强我们高科技经济的竞争力。