I/UCRC GOALI Fundamental Research: Autonomous Self-Healing Sensor Network Radio and Mixed-Signal Readout System Design

这项提案寻求为亚利桑那州立大学网站(LEAD)进行的连接第一中心-通信电路和系统研究提供资金。基础研究的资金申请由NSF批准的请愿书授权，NSF 10-507。征集邀请研究所/大学合作研究中心提交支持行业定义的基础研究的建议。本方案的重点是研制可靠的自愈传感器网络、无线电和混合信号模数读出系统的设计。芯片最终将被制造出来。作为这项工作的结果，将有无线电和混合信号读取链的系统级表征的模型和软件，以及硬件模块、系统和电路级补偿的软件，以及用于全球决策的软件。该项目从传感器接口到射频域的全局视角，以确保组件的可靠运行。在可靠性无线电收发机设计、系统和电路级测试以及电路校准和补偿方面拥有丰富经验的PI非常适合这项工作。亚利桑那州立大学的计算机集群和无线集成纳米技术中心将有助于组装集成电路和印刷电路板。将传感器网络部署到偏远、难以到达的地区进行数据收集和分析可以产生深远的影响，改善许多人的生活。这些系统很有希望提高预测和预防迫在眉睫的危险的能力，例如辐射、空气和饮用水污染，以及公路和桥梁等基础设施的故障。这项研究的成功成果将使生产出高产量、低成本和长寿命的微型和智能传感器系统成为可能。拟议的工作是中心内正在进行的活动的继续，因此它直接使中心终身受益。

This proposal seeks funding for the Center for Connection One-Communication Circuits and Systems Research studies conducted by the Arizona State University site (lead). Funding Requests for Fundamental Research are authorized by an NSF approved solicitation, NSF 10-507. The solicitation invites I/UCRCs to submit proposals for support of industry-defined fundamental research. The focus of this proposal is on the development of reliable self-healing sensor network radio and mixed-signal analog/digital readout system design. The chip is to be eventually fabricated. As a result of this work there would be models and software for system-level characterization of radio and mixed-signal readout chains along with hardware modules, software for system and circuit level compensation, and software for global decision making. The project takes a global view from the sensor interface to the RF domain for a reliable operation of the components. The PIs are well qualified for this work having experience in reliability radio transceiver design, system and circuit level test, and circuit calibration and compensation. Computer clusters and the Wireless Integrated Nanotechnology center at Arizona State University will be helpful for assembling integrated circuits and printed circuit boards.Deployment of sensor networks into remote, hard-to-reach areas for data collection and analysis can have a profound impact to improve the lives of many. These systems hold great promise to increase capabilities in terms of predicting and preventing from impending dangers, such as radiation, air and drinking water pollution, and failures in infrastructure, such as highways and bridges. Successful outcomes of this research will enable the production of miniature and intelligent sensor systems with high yield, lower cost, and long lifetimes. The proposed work is a continuation of the ongoing activities within the center, and as such it directly benefits the center for its lifetime.