CAREER: Energy Scalable Signal Processing for Energy Harvesting Microsystems

职业：能量采集微系统的能量可扩展信号处理

• 批准号: 0547113
• 负责人: Rajeevan Amirtharajah
• 金额: --
• 依托单位: University of California-Davis
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-07-01 至 2011-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0547113&HistoricalAwards=false
• 关键词: CAREER; Energy; Scalable; Signal; Processing

CAREER: Energy Scalable Signal Processing for Energy Harvesting MicrosystemsPI: Rajeevan AmirtharajahProposal No: ECS-0547113AbstractThis CAREER proposal focuses on developing integrated circuits for energy harvesting microsystems. Advances in digital technology have brought computation out of the machine room and made it nearly ubiquitous. Integrating computation with sensing and actuation enables new applications in transportation systems, environmental studies, and public safety. However, battery technology has not kept pace - limiting size, operating lifetime, and raising costs. Energy harvesting from external sources can enable the next generation of ubiquitous computation, but energy-harvesting microsystems are still in their infancy. Moreover, the desire for smaller devices and high integration limits the power available from energy harvesting. Intellectual Merit: This proposal addresses these issues by developing microarchitectures and circuits for sensor signal processing that are energy efficient, energy scalable, and robust to voltage variations, which characterize energy harvesting transducers. The approach is to develop computational elements that do not require DC power supplies by using energy recovery and self-timed circuits adapted to energy harvesting operation from AC supplies. The project culminates in the development of a custom DSP integrated circuit with a target energy efficiency of 10 TeraOps/W, which will demonstrate critical enabling technologies for future energy harvesting microsystems.Broader Impacts: To broaden the impact of this work, the project will bring energy scalability ideas into new and revised courses through design projects and laboratory experiments. The goal is to reintroduce physical constraints into digital design, which is currently dominated by logic synthesis, and link education with the research program. The project will involve underrepresented minorities in the proposed research through the NSF California Alliance for Minority Participation (CAMP) program. The project will contribute to the energy harvesting and low power research community by disseminating methodologies, results, and tools online and through interdisciplinary collaboration with researchers at the University of California at Berkeley and with industry researchers at Motorola and Xilinx, Inc.

Career：能源采集微系统的能源可扩展信号处理PI：Rajeevan Amirtharajah提案编号：ECS-0547113摘要这份职业建议书专注于开发用于能源采集微系统的集成电路。数字技术的进步使计算走出了机房，使其几乎无处不在。将计算与传感和驱动相结合，可以在交通系统、环境研究和公共安全方面实现新的应用。然而，电池技术并没有跟上步伐--限制了尺寸、工作寿命和成本。从外部来源收集能源可以实现下一代无处不在的计算，但能源收集微系统仍处于初级阶段。此外，对更小设备和高集成度的需求限制了能源收集可用的功率。智能优点：这项建议通过开发用于传感器信号处理的微体系结构和电路来解决这些问题，这些微体系结构和电路具有能效高、能量可扩展和抗电压变化能力强的特点，这是能量采集换能器的特点。该方法是通过使用能量回收和自定时电路来开发不需要直流电源的计算元件，以适应从交流电源收集能量的操作。该项目最终将开发一种定制的DSP集成电路，目标能效为10TeraOps/W，这将展示未来能源收集微系统的关键使能技术。广泛影响：为了扩大这项工作的影响，该项目将通过设计项目和实验室实验将能源可扩展性的想法引入新的和修订的课程中。其目标是将物理约束重新引入目前以逻辑综合为主的数字设计，并将教育与研究计划联系起来。该项目将通过NSF加州少数群体参与联盟(CAMP)计划，让未被充分代表的少数群体参与拟议的研究。该项目将通过在线传播方法、结果和工具，并通过与加州大学伯克利分校的研究人员以及摩托罗拉和Xilinx公司的行业研究人员进行跨学科合作，为能源收集和低能耗研究社区做出贡献。