SGER: Adaptive Intelligent Interferometric Imaging Systems

SGER：自适应智能干涉成像系统

• 批准号: 0841334
• 负责人: Suman Chakravorty
• 金额: $ 7.5万
• 依托单位: Texas A&M Engineering Experiment Station
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-10-01 至 2009-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0841334&HistoricalAwards=false
• 关键词: SGER; Adaptive; Intelligent; Interferometric; Imaging

AbstractProposal Number: 0841334Proposal Title: SGER: Adaptive Intelligent Interferometric Imaging SystemPI Name: Suman ChakravortyPI Institution: Texas A&M University - Texas Engineering Experiment StationObjective: The PI will develop new technology to improve our ability (and reduce the cost) to perform high resolution imaging of distant astronomical targets such as exo-solar systems and protoplanetary disks. These high resolution imaging tasks will be addressed by using multi-spacecraft interferometric imaging systems (MSIIS). Such systems synthesize a large optical aperture by interfering the light collected by smaller aperture telescopes carried by the component spacecraft of such systems. The state of the art for the maneuver design of such systems attempts to uniformly fill the Fourier/u-v plane of the image. However, such maneuvers lead to an exceedingly wasteful expenditure of resources since the Fourier plane of any image is quite sparse. The new methodology proposed here is intended to reduce that waste, and thereby substantially reduce the cost of achieving ambitious goals in astronomical imaging. Intellectual merit of proposal: The intelligent imagining methodology is formulated as a stochastic adaptive control problem. It consists of: (a) intensity correlation interferometry based on the Hanbury-Brown-Twiss (HB-T) quantum optic effect; (b) forming a constant probabilistic estimate of the image using noisy interferometric measurements made by the component spacecraft; and (c) utilizing this probablilistic estimate of the image to guide the motion of the component spacecraft such that most of the resources of the system are utilized in exploring the "information rich" areas of the u-v plane. Intensity correlation interferometry (ICI) based on the HB-T effect results in relaxation of the precision control requirements by several orders of magnitude. The image estimation problem will be addressed by a new methodology grounded in frequentist statistics. The motion planning of the spacecraft is proposed to be solved using approximate dynamic programming (ADP) utilizing the probabilistic estimates of the image content from the estimation algorithm. Broad impact of proposal: This new technology should permit the development of high resolution imaging systems with effective aperture sizes that are heretofore unheard of. For example, it may make it far more feasible and affordable for us to detect the spectral signature of plant life in earth-sized planets within 100 to 100 light years of earth. The recruitment of graduate, undergraduate and high school students to participate in the research performed at the ground-based observatory in TAMU as part of this project will literally opn new worlds for these students. Among these students will be underrepresented minority students who will be actively recruited from Bryan High School (BHS).

摘要提案编号：0841334提案标题：SGER：自适应智能干涉成像系统PI姓名：Suman ChakravortyPI机构：得克萨斯A& M大学-得克萨斯工程实验站目标：PI将开发新技术，以提高我们的能力（并降低成本），以执行遥远的天文目标，如太阳系和原行星盘的高分辨率成像。这些高分辨率成像任务将通过使用多航天器干涉成像系统来完成。这种系统通过干涉由这种系统的组成航天器携带的较小孔径望远镜收集的光来合成大的光学孔径。这种系统的机动设计的现有技术试图均匀地填充图像的傅立叶/u-v平面。然而，这样的机动导致资源的极其浪费的支出，因为任何图像的傅立叶平面是相当稀疏的。这里提出的新方法旨在减少这种浪费，从而大大降低实现天文成像宏伟目标的成本。建议的智力优点：智能想象方法被制定为一个随机自适应控制问题。它包括：（a）基于Hanbury-Brown-Twiss（HB-T）量子光学效应的强度相关干涉测量法;（B）使用由组成航天器进行的噪声干涉测量形成图像的恒定概率估计;以及（c）利用图像的这种概率估计来引导组成航天器的运动，使得系统的大部分资源被用于探索“信息丰富”的区域。U-V平面的面积。基于HB-T效应的强度相关干涉术（ICI）可以将精度控制要求放宽几个数量级。图像估计问题将解决一个新的方法，在频率统计接地。航天器的运动规划建议使用近似动态规划（ADP），利用估计算法的图像内容的概率估计来解决。提案的广泛影响：这项新技术应允许开发具有迄今为止闻所未闻的有效孔径尺寸的高分辨率成像系统。例如，它可能使我们在距离地球100到100光年的地球大小的行星上探测植物生命的光谱特征变得更加可行和负担得起。作为该项目的一部分，招募研究生、本科生和高中生参加在TAMU地面观测站进行的研究，将为这些学生开辟新的世界。在这些学生中，少数民族学生的代表性不足，他们将积极从布赖恩高中（BHS）招募。