Calibrated and Wideband Vector Signal Generation and Analysis Using Vector Network Analyser

使用矢量网络分析仪生成和分析校准的宽带矢量信号

基本信息

  • 批准号:
    RTI-2023-00451
  • 负责人:
  • 金额:
    $ 10.87万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Research Tools and Instruments
  • 财政年份:
    2022
  • 资助国家:
    加拿大
  • 起止时间:
    2022-01-01 至 2023-12-31
  • 项目状态:
    已结题

项目摘要

A new age of global information and communication technology is transforming the modern landscape, propelling the world toward industry's 5.0 digital revolution. New and, as yet, unimagined services will soon require fully integrated and global connectivity spanning terrestrial, vehicular, aerial, and aerospace communication technologies. To support this shift, millimeter-wave and sub-terahertz (MMW/ST) communication technology (MSCT) are key to unlocking seamless, fast, reliable, accurate, and power-efficient transmission of unprecedented volumes of data by these services. Yet, the full realization of the MSCT benefits is conditional not only to the successful development of innovative solutions at the application layers, but also on the access to viable physical layer solutions. Specifically, component-level physical layer MSCT research into real-time digital signal processing (RT-DSP), MMW/ST transceivers, and antenna arrays does not often consider performance at the system level after their integration and thus cannot steer the design feedback process to iteratively improve system performance. The applicants request calibrated and wideband MMW/ST vector signal generation and analysis measurement capabilities to augment an existing vector network analyser at Waterloo. This will form a comprehensive characterization system for research into physical layer at MMW/ST frequencies by meeting the requirements for i) native frequency range up to 67 GHz with extension to 330 GHz using existing frequency extenders, ii) high-quality vector signal generation and analysis with bandwidth of up to 6 GHz, iii) multiple characterization domains, iv) single-ended and differential connectivity, v) time and phase coherency between at least 2 inputs and 2 outputs. These will allow diverse types of measurements essential to MMW/ST physical-layer research including i) scattering parameters and radiation-characteristics of antenna elements/arrays, ii) scattering parameters, distortion characteristics, phase noise, and noise figure of the transceivers building blocks, iii) indoor and outdoor channel response and statistics, and iv) signal quality and compliance characteristics. The requested measurement capabilities will be the first of its kind in Canada, enabling cutting edge research and support into future communication technology and physical layer MSCT, from RT-DSP algorithms to transceiver hardware and baseband to sub-terahertz. Further, the requested capabilities will help characterize propagation channels at MMW/ST frequencies to be used for 6G systems, an area of research currently under studied. They will also contribute to the acquisition of core skills and knowledge in the training of highly qualified personnel, ensuring Canadian industry, such as communication service providers, satellite and telecommunications equipment manufacturers, test and measurement solution providers have access to highly-skilled labor.
全球信息和通信技术的新时代正在改变现代景观,推动世界走向工业5.0数字革命。新的和迄今为止无法想象的服务将很快需要完全集成的全球连接,包括地面,车辆,空中和航空航天通信技术。为了支持这一转变,毫米波和亚太赫兹(MMW/ST)通信技术(MSCT)是这些服务实现前所未有的数据量无缝、快速、可靠、准确和节能传输的关键。然而,充分实现MSCT的好处不仅取决于应用层创新解决方案的成功开发,还取决于可行的物理层解决方案。具体而言,实时数字信号处理(RT-DSP),毫米波/ST收发器和天线阵列的组件级物理层MSCT研究通常不考虑其集成后的系统级性能,因此无法引导设计反馈过程,以迭代地提高系统性能。申请人要求校准和宽带MMW/ST矢量信号生成和分析测量能力,以增强滑铁卢现有的矢量网络分析仪。这将形成一个用于研究MMW/ST频率物理层的综合表征系统,满足以下要求:i)固有频率范围高达67 GHz,使用现有频率扩展器扩展至330 GHz,ii)带宽高达6 GHz的高质量矢量信号生成和分析,iii)多个表征域,iv)单端和差分连接,v)至少2个输入和2个输出之间的时间和相位相干性。这将允许对MMW/ST物理层研究至关重要的各种类型的测量,包括i)天线元件/阵列的散射参数和辐射特性,ii)收发器构建块的散射参数、失真特性、相位噪声和噪声系数,iii)室内和室外信道响应和统计,以及iv)信号质量和合规特性。 所要求的测量能力将是加拿大首个此类能力,能够对未来通信技术和物理层MSCT进行前沿研究和支持,从RT-DSP算法到收发器硬件和基带到亚太赫兹。此外,所要求的能力将有助于表征用于6 G系统的MMW/ST频率的传播信道,这是目前正在研究的一个研究领域。它们还将有助于获得高素质人才培训的核心技能和知识,确保加拿大工业,如通信服务提供商,卫星和电信设备制造商,测试和测量解决方案提供商,能够获得高技能劳动力。

项目成果

期刊论文数量(0)
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Boumaiza, Slim其他文献

Multispectrum Signal Transmitters
  • DOI:
    10.1109/mmm.2014.2356150
  • 发表时间:
    2014-11-01
  • 期刊:
  • 影响因子:
    3.6
  • 作者:
    Boumaiza, Slim;Golestaneh, Hamed;Abadi, Mehdi Naseri Ali
  • 通讯作者:
    Abadi, Mehdi Naseri Ali
I/Q Imbalance Compensation in Wideband Millimeter-Wave Transmitters Using a Single Undersampling ADC
Physically Inspired Neural Network Model for RF Power Amplifier Behavioral Modeling and Digital Predistortion
Extended Hammerstein Behavioral Model Using Artificial Neural Networks
Modeling Bias Dependence of Self-Heating in GaN HEMTs Using Two Heat Sources
  • DOI:
    10.1109/ted.2020.3003847
  • 发表时间:
    2020-08-01
  • 期刊:
  • 影响因子:
    3.1
  • 作者:
    Chen, Xuesong;Boumaiza, Slim;Wei, Lan
  • 通讯作者:
    Wei, Lan

Boumaiza, Slim的其他文献

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{{ truncateString('Boumaiza, Slim', 18)}}的其他基金

Co-development of digital signal processing methods and circuit design techniques for novel 5G and beyond transmitters
共同开发新型 5G 及其他发射机的数字信号处理方法和电路设计技术
  • 批准号:
    RGPIN-2022-04641
  • 财政年份:
    2022
  • 资助金额:
    $ 10.87万
  • 项目类别:
    Discovery Grants Program - Individual
Real-time Digital Signal Processing Methods and their Implementation for Overcoming Massive MIMO Transmitter Hardware Limitations
克服大规模 MIMO 发射机硬件限制的实时数字信号处理方法及其实现
  • 批准号:
    543919-2019
  • 财政年份:
    2021
  • 资助金额:
    $ 10.87万
  • 项目类别:
    Collaborative Research and Development Grants
A Holistic Approach to Addressing the Unrelenting Efficiency and Linearity Challenges of 5G Transmitters
解决 5G 发射机持续存在的效率和线性挑战的整体方法
  • 批准号:
    RGPIN-2016-04159
  • 财政年份:
    2021
  • 资助金额:
    $ 10.87万
  • 项目类别:
    Discovery Grants Program - Individual
Ultra-wideband test and measurement solutions for radio frequency circuits and systems of 5G front-ends
5G前端射频电路和系统的超宽带测试测量解决方案
  • 批准号:
    500694-2016
  • 财政年份:
    2020
  • 资助金额:
    $ 10.87万
  • 项目类别:
    Collaborative Research and Development Grants
A Holistic Approach to Addressing the Unrelenting Efficiency and Linearity Challenges of 5G Transmitters
解决 5G 发射机持续存在的效率和线性挑战的整体方法
  • 批准号:
    RGPIN-2016-04159
  • 财政年份:
    2020
  • 资助金额:
    $ 10.87万
  • 项目类别:
    Discovery Grants Program - Individual
Real-time Digital Signal Processing Methods and their Implementation for Overcoming Massive MIMO Transmitter Hardware Limitations
克服大规模 MIMO 发射机硬件限制的实时数字信号处理方法及其实现
  • 批准号:
    543919-2019
  • 财政年份:
    2020
  • 资助金额:
    $ 10.87万
  • 项目类别:
    Collaborative Research and Development Grants
16 Channel Massive MIMO Characterization and Development Platform for Enabling Research into the Physical-layer of the Sub-6 GHz 5G Communication Systems
16 通道大规模 MIMO 表征和开发平台,支持对 6 GHz 以下 5G 通信系统的物理层进行研究
  • 批准号:
    RTI-2021-00445
  • 财政年份:
    2020
  • 资助金额:
    $ 10.87万
  • 项目类别:
    Research Tools and Instruments
High-resolution, wide-band and non-repeating signal generation for research into millimeter-wave communication technology
用于毫米波通信技术研究的高分辨率、宽带和非重复信号生成
  • 批准号:
    RTI-2020-00399
  • 财政年份:
    2019
  • 资助金额:
    $ 10.87万
  • 项目类别:
    Research Tools and Instruments
Real-time Digital Signal Processing Methods and their Implementation for Overcoming Massive MIMO Transmitter Hardware Limitations
克服大规模 MIMO 发射机硬件限制的实时数字信号处理方法及其实现
  • 批准号:
    543919-2019
  • 财政年份:
    2019
  • 资助金额:
    $ 10.87万
  • 项目类别:
    Collaborative Research and Development Grants
A Holistic Approach to Addressing the Unrelenting Efficiency and Linearity Challenges of 5G Transmitters
解决 5G 发射机持续存在的效率和线性挑战的整体方法
  • 批准号:
    RGPIN-2016-04159
  • 财政年份:
    2019
  • 资助金额:
    $ 10.87万
  • 项目类别:
    Discovery Grants Program - Individual

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