A Reconfigurable Readout Circuit for Integrated Infrared Spectral Sensing

用于集成红外光谱传感的可重构读出电路

• 批准号: 0925757
• 负责人: Payman Zarkesh-Ha
• 金额: $ 45万
• 依托单位: University of New Mexico
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-15 至 2013-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0925757&HistoricalAwards=false
• 关键词: Reconfigurable; Readout; Circuit; Integrated; Infrared

A Reconfigurable Readout Circuit for Integrated Infrared Spectral Sensing Over the years infrared imaging technology has improved significantly and many new applications, such as multicolor infrared imaging, thermal medical diagnostics, and remote sensing, have emerged. This growth has been made possible by dramatic technical advances in the infrared sensor manufacturing as well as remarkable improvements in algorithms for image recognition, analysis and processing. However, the readout integrated circuit (ROIC), which is the interface between infrared sensors and the post-processing unit, has shown little improvement over the years. This can be attributed, for the most part, to the fact that ROICs have been designed traditionally as an application-specific integrated circuit (ASIC), which cannot support reconfiguration nor adaptivity. The main objective of this project is to design and prototype an intelligent readout integrated circuit (iROIC) with built-in programmable analog blocks, capable of performing basic spatio-temporal image-processing and image-recognition operations utilizing temporal and spatial (at the pixel-level) tunable bias unit cell. This project consists of three main components: 1) design and fabrication of iROIC, 2) development of spatial-temporal-spectral processing and detector tuning algorithms to be used for iROIC, and 3) fabrication and growth of the quantum dot in well detectors and hybridization onto the iROIC. Intellectual Merit: The proposed iROIC has two distinctive features that no existing ROIC can offer: 1) pixel-level tunable bias, and 2) built-in analog signal processing units. These unique features have the potential to fundamentally change the way data-exploiting and post-processing imaging are developed. For instance, currently, to create a desired spectral response, multiple images must be taken of the scene. Utilizing the pixel-level tunable bias, one can take multiple spectral responses within one frame. Moreover, the proposed technology allows a single camera system to be used for panchromatic imagery, multi-color imagery at arbitrary wavelengths, multispectral imagery with arbitrary numbers, locations, and widths of spectral bands, and coarse resolution hyperspectral imagery. The additional features in the iROIC technology provide enormous flexibility to the electronic imaging systems, which, in turn, allow us to implement novel image processing algorithms in-situ. Broader Impact: The proposed research and education plan revolves around broadening participation from underrepresented groups in Mathematics, Science, Engineering and Technology by involving students, such as minorities and women in the research and educational activities. At the University of New Mexico, approximately 40% of the undergraduate students belong to minority groups such as Hispanics, African-American, Native-American and members of the various Indian tribes. Also, roughly 40% of our undergraduate students are women. These facts provide an excellent opportunity for faculty to involve traditionally underrepresented groups and enhance diversity in their research and education program. Furthermore, the effort proposed here will have a significant impact on graduate and undergraduate education and training in the ECE department at UNM. The research team represents an interdisciplinary cross section of several important areas within electrical engineering, bringing together work in optoelectronics, analog/digital VLSI design, and signal/image processing.

一种用于集成红外光谱传感的可重构读出电路近年来，红外成像技术得到了显著的发展，并出现了许多新的应用，如红外成像、热医学诊断和遥感。这种增长是由于红外传感器制造技术的巨大进步以及图像识别、分析和处理算法的显著改进而实现的。然而，作为红外传感器和后处理单元之间接口的读出集成电路（ROIC）多年来几乎没有改进。这在很大程度上可以归因于ROIC传统上被设计为专用集成电路（ASIC），其不能支持重新配置或自适应性。该项目的主要目标是设计和原型的智能读出集成电路（iROIC）与内置的可编程模拟块，能够执行基本的时空图像处理和图像识别操作，利用时间和空间（在像素级）可调偏置单元。该项目包括三个主要部分：1）iROIC的设计和制造，2）用于iROIC的空间-时间-光谱处理和检测器调谐算法的开发，以及3）量子点在阱检测器中的制造和生长以及在iROIC上的杂交。智力优势：所提出的iROIC具有现有ROIC无法提供的两个显著特征：1）像素级可调偏置，以及2）内置模拟信号处理单元。这些独特的功能有可能从根本上改变数据开发和后处理成像的方式。例如，目前，为了创建期望的光谱响应，必须拍摄场景的多个图像。利用像素级可调偏置，可以在一帧内获得多个光谱响应。此外，所提出的技术允许单个相机系统用于全色图像、任意波长的多色图像、具有任意数量、位置和光谱带宽度的多光谱图像以及粗分辨率高光谱图像。iROIC技术中的附加功能为电子成像系统提供了巨大的灵活性，这反过来又使我们能够在原位实现新的图像处理算法。更广泛的影响：拟议的研究和教育计划围绕着扩大代表性不足的群体对数学、科学、工程和技术的参与，让少数民族和妇女等学生参与研究和教育活动。在新墨西哥州大学，大约40%的本科生属于少数民族，如西班牙裔，非洲裔美国人，美洲原住民和各种印第安部落的成员。此外，大约40%的本科生是女性。这些事实为教师提供了一个很好的机会，让传统上代表性不足的群体参与进来，并提高他们的研究和教育计划的多样性。此外，这里提出的努力将对研究生和本科生的教育和培训产生重大影响，在欧洲经委会系在新墨西哥大学。该研究团队代表了电气工程中几个重要领域的跨学科交叉，汇集了光电子学，模拟/数字VLSI设计和信号/图像处理方面的工作。