Compressed sensing for terahertz body scanners
太赫兹人体扫描仪的压缩传感
基本信息
- 批准号:273378044
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:德国
- 项目类别:Priority Programmes
- 财政年份:2015
- 资助国家:德国
- 起止时间:2014-12-31 至 2019-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Over the last 20 years the terahertz (THz) region of the electromagnetic spectrum has developed from once being known as the THz gap into a very promising region for many applications. The most prominent one is security imaging, where THz body scanners are a vivid research field. For this application high quality, real-time or video-rate imaging capabilities are necessary. However, large-scale detector arrays are not readily available for THz radiation. This challenge is addressed by using a single or just a few very sensitive detectors in combination with mechanical scanning. Therefore, techniques which combine high sensitivity, single pixel detectors with fast, non-mechanical scanning are crucial for not only for security imaging but for all THz imaging applications. Since in many applications THz images are quite smooth it is likely that they are sparse in the Fourier and/or wavelet domain. In fact, first research results demonstrate this sparsity. Utilizing Compressed Sensing (CS) techniques can reduce the number of measurement acquisitions and thus decreasing the imaging time, because if only a single pixel is available the imaging time is directly proportional to the number of acquisitions. Therefore CS is a very promising technique to improve THz imaging significantly. The objective of the project is to develop a measurement design and CS reconstruction algorithms for THz body scanners in order to improve the image quality and the imaging speed of these scanners. The algorithms will be developed for a phase-sensitive passive THz body scanner and a THz radar body scanner. Both are single pixel cameras and capable of imaging at 5 m stand-off distance. The peculiarities of the THz spectral region require tackling several challenges within the CS framework. These are, for example, multi-path propagation, diffraction problems, speckle and coherence effects of the radiation. Among all the issues to be account for, the exact modeling of these phenomena is extremely complex, and hence simplified models need to be introduced for diverse aspects. This may result in severe model errors, i.e. errors in the sensing matrix. During the project we intend to solve these specific challenges using a compressive deconvolution approach. Furthermore, we want to develop a model of the THz imaging process with both scanners. The model will be verified by measuring the accessible model components. The project is a joined research effort by teams of TU Berlin and TU München. TU Berlin contributes its expertise in THz imaging systems and application of CS to THz imaging while TU München contributes its expertise regarding the application of CS to radar techniques.
在过去的 20 年里,电磁频谱的太赫兹 (THz) 区域已经从曾经被称为太赫兹间隙的区域发展成为许多应用中非常有前途的区域,其中最突出的是安全成像,其中太赫兹人体扫描仪是一项生动的研究。对于该应用,高质量、实时或视频速率成像能力是必要的,但是,很难通过使用单个或几个非常灵敏的探测器来解决这一挑战。在因此,将高灵敏度、单像素探测器与快速非机械扫描相结合的技术不仅对于安全成像而且对于所有太赫兹成像应用都至关重要,因为在许多应用中太赫兹图像可能非常平滑。事实上,第一个研究结果表明,利用压缩感知(CS)技术可以减少测量采集的数量,从而减少成像时间。像素可用,成像时间与采集数量成正比,因此 CS 是一种非常有前途的技术,可以显着改善太赫兹成像,该项目的目标是开发太赫兹人体扫描仪的测量设计和 CS 重建算法。提高这些扫描仪的图像质量和成像速度。这些算法将针对相敏无源太赫兹人体扫描仪和太赫兹雷达人体扫描仪而开发,两者都是单像素相机,能够在 5 m 的距离处成像。的特点太赫兹光谱区域需要在 CS 框架内应对多个挑战,例如,多路径传播、衍射问题、辐射的散斑和相干效应。极其复杂,因此需要针对不同方面引入简化模型,这可能会导致严重的模型错误,即传感矩阵中的错误。此外,我们希望使用压缩反卷积方法来解决这些特定挑战。到使用两台扫描仪开发太赫兹成像过程的模型 该模型将通过测量可访问的模型组件进行验证 该项目是柏林工业大学和慕尼黑工业大学团队的联合研究成果,贡献了其在太赫兹成像系统和技术方面的专业知识。 CS 在太赫兹成像中的应用,而慕尼黑工业大学贡献了其在 CS 在雷达技术中的应用方面的专业知识。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Professor Dr. Heinz-Wilhelm Hübers其他文献
Professor Dr. Heinz-Wilhelm Hübers的其他文献
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{{ truncateString('Professor Dr. Heinz-Wilhelm Hübers', 18)}}的其他基金
Helium-like impurity centers in silicon and germanium: Infrared light interaction, non-equilibrium distributions and optoelectronic applications
硅和锗中的类氦杂质中心:红外光相互作用、非平衡分布和光电应用
- 批准号:
389056032 - 财政年份:2018
- 资助金额:
-- - 项目类别:
Research Grants
Towards infrared diamond optoelectronics: time-resolved spectroscopy of excited acceptors in diamond
走向红外金刚石光电子学:金刚石中激发受体的时间分辨光谱
- 批准号:
336679739 - 财政年份:2017
- 资助金额:
-- - 项目类别:
Research Grants
High-resolution terahertz semiconductor spectroscopy using quantum-cascade lasers: Spectros-copy of impurity transitions in Ge and Si
使用量子级联激光器的高分辨率太赫兹半导体光谱:Ge 和 Si 中杂质跃迁的光谱复制
- 批准号:
269855598 - 财政年份:2015
- 资助金额:
-- - 项目类别:
Research Grants
Multi-band millimeter wave / terahertz breath sensor based on molecular absorption spectroscopy
基于分子吸收光谱的多波段毫米波/太赫兹呼吸传感器
- 批准号:
272356870 - 财政年份:2015
- 资助金额:
-- - 项目类别:
Priority Programmes
Halbleiter-Terahertz-Laser basierend auf Übergängen zwischen Energieniveaus flacher Verunreinigungen
基于平面杂质能级之间跃迁的半导体太赫兹激光器
- 批准号:
5288272 - 财政年份:1996
- 资助金额:
-- - 项目类别:
Research Grants
Quantitative analytical spectroscopy of ultra-high purity germanium crystals
超高纯锗晶体的定量分析光谱
- 批准号:
509105207 - 财政年份:
- 资助金额:
-- - 项目类别:
Research Grants
Cryo-micro-Raman spectroscopy and next generation sequencing for investigation of biomarkers in water ice inclusions of the subglacial antarctic lake
冷冻显微拉曼光谱和下一代测序用于研究南极冰下湖水冰包裹体中的生物标志物
- 批准号:
429811207 - 财政年份:
- 资助金额:
-- - 项目类别:
Research Grants
HgCdTe-based quantum-well-heterostructures for mid-infrared heterodyne spectroscopy
用于中红外外差光谱的基于 HgCdTe 的量子阱异质结构
- 批准号:
448961446 - 财政年份:
- 资助金额:
-- - 项目类别:
Research Grants
Atomic oxygen in the mesosphere and lower thermosphere of the Earth
地球中层和低层热层中的原子氧
- 批准号:
502949516 - 财政年份:
- 资助金额:
-- - 项目类别:
Research Grants
Micro-integrated terahertz quantum-cascade laser for high-resolution spectroscopy (Micro-QCL)
用于高分辨率光谱的微集成太赫兹量子级联激光器(Micro-QCL)
- 批准号:
468535812 - 财政年份:
- 资助金额:
-- - 项目类别:
Priority Programmes
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