Collaborative Research: Electronically-Scanned Wideband Digital Aperture Antenna Arrays using Multi-Dimensional Space-Time Circuit-Network Resonance: Theory and Hardware

合作研究:使用多维时空电路网络谐振的电子扫描宽带数字孔径天线阵列:理论和硬件

基本信息

  • 批准号:
    1408361
  • 负责人:
  • 金额:
    $ 20万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2014
  • 资助国家:
    美国
  • 起止时间:
    2014-08-01 至 2018-07-31
  • 项目状态:
    已结题

项目摘要

An aperture array is a group of antennas that can be deployed in particular geometric patterns to detect radio signals at a given range of frequencies. Using an array is beneficial for electrical engineering because it can magnify a radio signal in the direction of that signal while suppressing noise and interference through a process known as beamforming. In addition, an antenna array can be used to detect the direction and distance of the signal's source. Aperture arrays are a crucial component of scientific instruments that measure the spatial distribution of radio sources. For example, radio telescopes, such as the Square Kilometer Array (SKA) instrument, rely on aperture arrays to generate precise radio images of electromagnetic sources for experimental cosmology and space science. These instruments image the sky using closely spaced radio beams known as radio pixels. Closely packed sets of such beams can be achieved by using hexagonal pixel grids, which are considered ideal for scientific studies. In order to build aperture beamformers to be used for a specific purpose, efficient schemes for processing the antenna array signals must be developed to reduce the computing time, energy consumption, and costs for the hardware required in the system. The proposed research creates new algorithms and digital computing architectures that will produce highly-focused hexagonal radio pixels for the most demanding of microwave imaging applications. The same aperture arrays are used in radar and wireless communication systems for signature detection and signal intelligence. In fact, aperture arrays are absolutely essential for national security and public safety from a threat detection perspective. In addition to its scientific merits and benefits for national security, this project will train highly qualified personnel (HQP), who will contribute to commercial industry, scientific research, public safety agencies, and the defense sector. Specific efforts will focus on promoting Women in Engineering programs in higher education to recruit and guide female engineering students at both the graduate and undergraduate levels. The proposed research tackles the problem of highly directional sparse aperture arrays using the mathematical properties of multi-dimensional recursive digital filters. The NSF-sponsored effort will develop hardware systems for aperture arrays based on the proposed concept of network-resonant phased-arrays (NRPAs). Multi-dimensional (MD) circuit theory and digital hardware form an enabling technology for imaging algorithms that can greatly improve performance over traditional technologies. This research proposes groundbreaking techniques based on array signal processing, circuits and systems. It will result in a significant improvement in the directional sensitivity while using a lower number of array elements compared to traditional phased array receivers of the same sensitivity. The proposed NRPAs combine the concept of network resonance with phased array technology to gain significant improvement in both directionality and sensitivity. The MD circuit theoretical concept of network resonance allows digital beamformers to have complex pole manifolds. These properties are shown to have advantages in terms of ultra-wideband frequency response, exceptional directionality, multi-beams with shape control, rapid steerability, and low computational complexity. This project investigates radio beams with a hexagonal sky-print for optimal sensing and microwave imaging over wide fields-of-view and bandwidths. The proposed NRPAs will be extended to both sparse and random arrays via theoretical formulations for decreasing hardware cost, reducing energy expended in computers and increasing design flexibility.
孔径阵列是一组天线,可以以特定的几何图案部署,以检测给定频率范围内的无线电信号。使用阵列对电气工程是有益的,因为它可以在该信号的方向上放大无线电信号,同时通过称为波束成形的过程来抑制噪声和干扰。此外,天线阵列可用于检测信号源的方向和距离。 孔径阵列是测量射电源空间分布的科学仪器的重要组成部分。例如,射电望远镜,如平方公里阵列(SKA)仪器,依靠孔径阵列来生成用于实验宇宙学和空间科学的电磁源的精确无线电图像。这些仪器使用被称为无线电像素的密集无线电波束来成像天空。这种光束的密集集合可以通过使用六边形像素网格来实现,这被认为是科学研究的理想选择。为了构建用于特定目的的孔径波束形成器,必须开发用于处理天线阵列信号的有效方案以减少系统中所需的硬件的计算时间、能量消耗和成本。拟议的研究创建了新的算法和数字计算架构,将为最苛刻的微波成像应用产生高度聚焦的六边形无线电像素。相同的孔径阵列用于雷达和无线通信系统中的特征检测和信号情报。事实上,从威胁检测的角度来看,孔径阵列对国家安全和公共安全绝对至关重要。除了其科学价值和对国家安全的好处外,该项目还将培养高素质人才,他们将为商业、科学研究、公共安全机构和国防部门做出贡献。具体工作将侧重于促进高等教育中的妇女参与工程方案,以招收和指导研究生和本科生中的女工程学生。该研究利用多维递归数字滤波器的数学特性解决了高方向性稀疏孔径阵列的问题。美国国家科学基金会赞助的努力将开发硬件系统的孔径阵列的基础上提出的概念网络谐振相控阵列(NRPA)。多维(MD)电路理论和数字硬件形成了成像算法的使能技术,可以大大提高传统技术的性能。这项研究提出了基于阵列信号处理,电路和系统的突破性技术。与具有相同灵敏度的传统相控阵接收器相比,它将导致方向灵敏度的显著提高,同时使用更少数量的阵列元件。建议NRPA联合收割机相结合的网络谐振的概念,相控阵技术,以获得显着改善的方向性和灵敏度。网络谐振的MD电路理论概念允许数字波束形成器具有复杂的极点流形。这些属性被证明具有超宽带频率响应,特殊的方向性,多波束形状控制,快速可操纵性和低计算复杂度方面的优势。该项目研究具有六边形天空印记的无线电波束,以在宽视场和带宽上进行最佳传感和微波成像。建议NRPA将通过理论公式扩展到稀疏和随机阵列,以降低硬件成本,减少在计算机中消耗的能量,并增加设计的灵活性。

项目成果

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Habarakada Madanayake其他文献

Habarakada Madanayake的其他文献

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{{ truncateString('Habarakada Madanayake', 18)}}的其他基金

Collaborative Research: SWIFT: AI-based Sensing for Improved Resiliency via Spectral Adaptation with Lifelong Learning
合作研究:SWIFT:基于人工智能的传感通过频谱适应和终身学习提高弹性
  • 批准号:
    2229471
  • 财政年份:
    2023
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
Collaborative Research: FuSe: Deep Learning and Signal Processing using Silicon Photonics and Digital CMOS Circuits for Ultra-Wideband Spectrum Perception
合作研究:FuSe:利用硅光子学和数字 CMOS 电路实现超宽带频谱感知的深度学习和信号处理
  • 批准号:
    2329012
  • 财政年份:
    2023
  • 资助金额:
    $ 20万
  • 项目类别:
    Continuing Grant
I-Corps: NextG Wireless Communications
I-Corps:NextG 无线通信
  • 批准号:
    2243346
  • 财政年份:
    2022
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
Collaborative Research: Distributed Electro-Mechanical Transmitters for Adaptive and Power-Efficient Wireless Communications in RF-Denied Environments
合作研究:分布式机电发射器,用于射频干扰环境中的自适应和高能效无线通信
  • 批准号:
    1904382
  • 财政年份:
    2019
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
Collaborative Research: Wideband Multi-Beam Antenna Arrays: Low-Complexity Algorithms and Analog-CMOS Implementations
合作研究:宽带多波束天线阵列:低复杂度算法和模拟 CMOS 实现
  • 批准号:
    1902283
  • 财政年份:
    2018
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
SpecEES: Collaborative Research: Spatially Oversampled Dense Multi-Beam Millimeter-Wave Communications for Exponentially Increased Energy-Efficiency
SpecEES:协作研究:空间过采样密集多波束毫米波通信,以指数方式提高能源效率
  • 批准号:
    1854798
  • 财政年份:
    2018
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
Collaborative Research: Wideband Multi-Beam Antenna Arrays: Low-Complexity Algorithms and Analog-CMOS Implementations
合作研究:宽带多波束天线阵列:低复杂度算法和模拟 CMOS 实现
  • 批准号:
    1711625
  • 财政年份:
    2017
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
SpecEES: Collaborative Research: Spatially Oversampled Dense Multi-Beam Millimeter-Wave Communications for Exponentially Increased Energy-Efficiency
SpecEES:协作研究:空间过采样密集多波束毫米波通信,以指数方式提高能源效率
  • 批准号:
    1731722
  • 财政年份:
    2017
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
CI-P: Collaborative Project: Planning for Community Infrastructure to Support Research for Simulating Complex Systems
CI-P:合作项目:规划社区基础设施以支持复杂系统仿真研究
  • 批准号:
    1629903
  • 财政年份:
    2016
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
EARS: Collaborative Research: Enhancing Spectral Access via Directional Spectrum Sensing Employing 3D Cone Filterbanks: Interdisciplinary Algorithms and Prototypes
EARS:协作研究:使用 3D 锥形滤波器组通过定向频谱传感增强频谱访问:跨学科算法和原型
  • 批准号:
    1247940
  • 财政年份:
    2012
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant

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