CAREER: Toward hybrid energy-harvesting image sensors

职业：走向混合能量收集图像传感器

• 批准号: 1055169
• 负责人: Walter Leon-Salas
• 金额: $ 40万
• 依托单位: University of Missouri-Kansas City
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-02-01 至 2013-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1055169&HistoricalAwards=false
• 关键词: CAREER; Toward; hybrid; energy; harvesting

The objective of this research is to develop and to apply advances in circuit integration and Compressive Sensing theory to the design of next generation of energy-harvesting image sensors. Compressive Sensing is a new theoretical framework for signal acquisition. In the proposed project, Compressive Sensing provides a solution for the trade-off between image quality and harvested energy. Specifically, these image sensors will have reconfigurable pixels that can work as light sensors or as tiny solar cells. Depending on the environmental conditions more or less pixels can be reconfigured to either modality. The proposed research introduces a new sensing paradigm especially suited to sensor networks and energy-constrained sensing applications. It also introduces a new approach based on fractal geometry to increase the efficiency of on-chip solar cells. The project will advance the field of Compressive Sensing by providing hardware solutions and practical encoding techniques. Analog-to-digital converters that can jointly perform the tasks of quantization and entropy encoding are also included in this project.The proposed research will result in low-cost image sensors suitable for surveillance, space exploration, and monitoring applications. These sensors can harvest ambient energy and, thus, can operate unattended for extended periods of time. Moreover, the proposed fractal photodiodes can be employed to improve solar cell design. The proposed educational activities will enhance the curricula of courses taught at University of Missouri-Kansas City. A design competition and a workshop will be implemented to increase the participation of underrepresented students in research activities and to enrich outreach efforts.

这项研究的目的是开发并将电路集成和压缩传感理论的进步应用到下一代能量收集图像传感器的设计中。压缩感知是信号采集的新理论框架。在拟议的项目中，压缩传感为图像质量和收集的能量之间的权衡提供了解决方案。具体来说，这些图像传感器将具有可重新配置的像素，可以用作光传感器或微型太阳能电池。根据环境条件，或多或少的像素可以重新配置为任一模式。拟议的研究引入了一种新的传感范式，特别适合传感器网络和能量受限的传感应用。它还引入了一种基于分形几何的新方法来提高片上太阳能电池的效率。该项目将通过提供硬件解决方案和实用的编码技术来推进压缩感知领域的发展。该项目还包括可以联合执行量化和熵编码任务的模数转换器。拟议的研究将产生适用于监视、空间探索和监控应用的低成本图像传感器。这些传感器可以收集环境能量，因此可以在无人值守的情况下长时间运行。此外，所提出的分形光电二极管可用于改进太阳能电池设计。拟议的教育活动将加强密苏里大学堪萨斯城分校教授的课程。将举办设计竞赛和研讨会，以增加代表性不足的学生对研究活动的参与并丰富外展工作。