I/UCRC FRP: Collaborative Research: Exploring Statistical Analysis Methodologies in Selected EMC/SI Applications

该提案为由密苏里科技大学（MUST）和休斯顿大学（UH）组成的电磁兼容性中心（CEMC）寻求资金。基础研究的资金申请由NSF批准的征求授权，NSF 11-570。本次招标邀请I/ ucrc提交支持行业定义基础研究的提案。该项目的目标是探索和开发用于实际EMC和信号完整性应用的统计分析方法。提出的研究将集中在两个领域：1)表征几何/材料变化、制造公差和工艺变化对高速信号通道性能的影响；2)通过近场扫描对随机噪声源进行表征。各种方法将通过建模和测量进行调查，并获得的见解可用于开发有效的设计工具，用于下一步的具体实际工程应用。高速设计界既没有系统的实验程序，也没有基于仿真的工具来解决复杂现实世界问题中的随机效应，而这对于行业向下一代设计迈进至关重要。拟议的研究将通过开发和改进实际EMC和信号完整性应用的一般统计分析方法来缩小这一差距。该项目的成功完成将使我们深入了解高速设计的各种统计分析方法，为工程CAD工具的开发提供有用的见解和指导。该项目的成果可以帮助国家保持其在高科技产业的竞争优势。当更精确的建模和测量技术能够解决随机效应时，下一代电子、计算机和通信系统将受益。在这个项目中获得的知识可以启发其他工程领域的类似想法和方法，以结合统计方法。建议的创新研究将有效地融入教育，将先进的技术转移到下一代劳动力的思想和手中。研究成果将通过世界自然保护委员会CEMC向中心成员发布，并通过会议、出版物和网站向公众发布。

This proposal seeks funding for the Center for Electromagnetic Compatibility (CEMC) comprised of the Missouri University of Science and Technology (MUST) and the University of Houston (UH). Funding Requests for Fundamental Research are authorized by an NSF approved solicitation, NSF 11-570. The solicitation invites I/UCRCs to submit proposals for support of industry-defined fundamental research. The goal of the project is to explore and develop statistical analysis methodologies for practical EMC and Signal Integrity applications. The proposed research will be focused on two areas: 1) charactering effects of geometry/material variations, manufacturing tolerances, and process variations on high-speed signal channel performance; and, 2) characterizing random noise sources through nearfield scanning. Various methodologies will be investigated through modeling and measurements, and the gained insights can be used to develop effective design tools for specific practical engineering applications in the next step. The high-speed design community has neither systematic experimental procedures nor simulation-based tools for addressing random effects in complex real-world problems, which are critical when the industry moves ahead to the next generation of designs. The proposed study will close this gap by developing and improving general statistical analysis methodologies for real-world EMC and signal integrity applications. The successful completion of the project will result in a deep understanding of various statistical analysis methodologies for high-speed designs, which can provide useful insights and guideline for engineering CAD tool development. The outcome of the project can help the nation to maintain its competitive advantages in high tech industry. The next generation of electronic, computer, and communication systems will benefit when more accurate modeling and measurement techniques to address random effects become available. The knowledge gained in this project can inspire similar ideas and approaches in other engineering fields to incorporate statistical methodologies. The proposed innovative research will be effectively integrated into education to transfer the developed technologies into the minds and hands of the next generation workforce. Research findings and results will be disseminated through the IUCRC CEMC to the center members, and through conferences, publications, and websites to the general public.