Intelligent Modeling and Design of Medium to Large Scale Microwave and Millimeter-Wave Circuits for Communication Systems

通信系统中大规模微波和毫米波电路的智能建模和设计

基本信息

  • 批准号:
    RGPIN-2017-05872
  • 负责人:
  • 金额:
    $ 2.04万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Individual
  • 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

Demands, such as extremely high data rates, are driving new technology development toward the higher end of microwave spectrum and the millimeter-wave spectrum, resulting in new challenges. At the same time, design and optimization at such high frequency rely on efficient computer aided design (CAD) techniques, which is especially true for medium and large scale design problems. The objectives of the proposed research program are to develop intelligent modeling techniques and optimization methods for medium to large scale microwave and millimeter-wave circuits and systems, and to apply these CAD techniques to the development of innovative and high performance circuits for next generation satellite and wireless communication systems. The research program will focus on the following areas. (1) Effective synthesis method and efficient and accurate wideband models will be developed for new multiplexing network configurations for applications in satellite communications. The developed CAD methods will be applied to medium to large-scale designs, including the development of new tunable multiplexers. (2) Intelligent modeling techniques will be developed for antenna arrays, allowing iterative design optimizations. The models will be applied to the development of highly efficient medium to large-scale millimeter-wave antenna arrays, and to the investigations of reconfigurability of the arrays, exploring microelectromechanical systems (MEMS) technology and advanced material, such as carbon-nanotube (CNT). In this research program, the modeling techniques build on efficient integrations of full wave simulations, distributed circuit models and/or neural networks, to accurately and quickly model the circuit behavior over a wide frequency range, and to further enable optimization with high efficiency. Each circuit/system has its own characteristics and design challenge. Different methods, such as artificial neural network, machine learning, and surrogate-based optimization techniques, will be effectively combined taking into account the specific characteristics of the circuits and design goals. The microwave and mm-wave circuits and systems focused on in this research program find important applications in space and ground based communications systems, as well as in imaging systems, sensors and automotive radar. The proposed research program is expected to make significant contributions in the field of CAD, and to the development of advanced and innovative circuits and systems, in both theoretical research and practical applications. The outcomes of the research can enhance competitiveness of the Canada's high-tech industry in the global market through development of new technologies and improvement of design capabilities. Furthermore, the expertise gained by HQP is valuable to Canadian industries, especially the information and communication technology sector.
极高的数据速率等需求正在推动新技术向微波频谱和毫米波频谱的高端发展,从而带来新的挑战。同时,这种高频率的设计和优化依赖于高效的计算机辅助设计(CAD)技术,特别是对于中大型设计问题。提出的研究计划的目标是为大中型微波和毫米波电路和系统开发智能建模技术和优化方法,并将这些CAD技术应用于下一代卫星和无线通信系统的创新和高性能电路的开发。研究项目将集中在以下几个方面。(1)针对卫星通信中应用的新型复用网络配置,将开发有效的综合方法和高效准确的宽带模型。开发的CAD方法将应用于中型到大型设计,包括开发新的可调谐多路复用器。(2)将开发天线阵列的智能建模技术,允许迭代设计优化。该模型将应用于高效中至大规模毫米波天线阵列的开发,以及阵列可重构性的研究,探索微机电系统(MEMS)技术和先进材料,如碳纳米管(CNT)。在本研究项目中,建模技术建立在全波仿真、分布式电路模型和/或神经网络的有效集成之上,以准确、快速地模拟宽频率范围内的电路行为,并进一步实现高效优化。每个电路/系统都有自己的特点和设计挑战。不同的方法,如人工神经网络、机器学习和基于代理的优化技术,将有效地结合起来,考虑到电路的具体特点和设计目标。微波和毫米波电路和系统在空间和地面通信系统以及成像系统、传感器和汽车雷达中都有重要的应用。本研究计划有望在CAD领域,以及在理论研究和实际应用方面为先进和创新电路和系统的发展做出重大贡献。研究成果可以通过开发新技术和提高设计能力来提高加拿大高科技产业在全球市场上的竞争力。此外,HQP获得的专业知识对加拿大的工业,特别是信息和通信技术部门是有价值的。

项目成果

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Wang, Ying其他文献

Multi-omics Investigation of Freeze Tolerance in the Amur Sleeper, an Aquatic Ectothermic Vertebrate.
  • DOI:
    10.1093/molbev/msad040
  • 发表时间:
    2023-03-04
  • 期刊:
  • 影响因子:
    10.7
  • 作者:
    Jiang, Haifeng;Lv, Wenqi;Wang, Ying;Qian, Yuting;Wang, Cheng;Sun, Ning;Fang, Chengchi;Irwin, David M.;Gan, Xiaoni;He, Shunping;Yang, Liandong
  • 通讯作者:
    Yang, Liandong
An extracellular matrix biosensing mimetic for evaluating cathepsin as a host target for COVID-19.
  • DOI:
    10.1016/j.aca.2022.340267
  • 发表时间:
    2022-09-08
  • 期刊:
  • 影响因子:
    6.2
  • 作者:
    Zhou, Lei;Hou, Wenmin;Wang, Ying;Lin, Xia;Hu, Jianguo;Li, Jinlong;Liu, Chen;Liu, Hongkai;Li, Hao
  • 通讯作者:
    Li, Hao
Applications of protein engineering in the microbial synthesis of plant triterpenoids.
  • DOI:
    10.1016/j.synbio.2022.10.001
  • 发表时间:
    2023-03
  • 期刊:
  • 影响因子:
    4.8
  • 作者:
    Luo, Yan;Jiang, Yaozhu;Chen, Linhao;Li, Chun;Wang, Ying
  • 通讯作者:
    Wang, Ying
Efficient synthesis of 1,8-dioxo-octahydroxanthenes catalyzed by beta-cyclodextrin grafted with butyl sulfonic acid in aqueous media
水介质中丁基磺酸接枝β-环糊精催化高效合成1,8-二氧代八氢呫吨
  • DOI:
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    16.5
  • 作者:
    Wang, Hualan;Wang, Shuxin;Wang, Ying;Chen, Jinghua
  • 通讯作者:
    Chen, Jinghua
Impact and Cost-Effectiveness of Biomedical Interventions on Adult Hepatitis B Elimination in China: A Mathematical Modelling Study.
  • DOI:
    10.1007/s44197-023-00132-1
  • 发表时间:
    2023-09
  • 期刊:
  • 影响因子:
    7.3
  • 作者:
    Wang, Xinran;Du, Zhicheng;Wang, Yijing;Wang, Junren;Huang, Shanshan;Wang, Ying;Gu, Jing;Deng, Wanyu;Gilmour, Stuart;Li, Jinghua;Hao, Yuantao
  • 通讯作者:
    Hao, Yuantao

Wang, Ying的其他文献

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{{ truncateString('Wang, Ying', 18)}}的其他基金

Intelligent Modeling and Design of Medium to Large Scale Microwave and Millimeter-Wave Circuits for Communication Systems
通信系统中大规模微波和毫米波电路的智能建模和设计
  • 批准号:
    RGPIN-2017-05872
  • 财政年份:
    2021
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual
Intelligent Modeling and Design of Medium to Large Scale Microwave and Millimeter-Wave Circuits for Communication Systems
通信系统中大规模微波和毫米波电路的智能建模和设计
  • 批准号:
    RGPIN-2017-05872
  • 财政年份:
    2020
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual
Intelligent Modeling and Design of Medium to Large Scale Microwave and Millimeter-Wave Circuits for Communication Systems
通信系统中大规模微波和毫米波电路的智能建模和设计
  • 批准号:
    RGPIN-2017-05872
  • 财政年份:
    2019
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual
Intelligent Modeling and Design of Medium to Large Scale Microwave and Millimeter-Wave Circuits for Communication Systems
通信系统中大规模微波和毫米波电路的智能建模和设计
  • 批准号:
    RGPIN-2017-05872
  • 财政年份:
    2018
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual
Intelligent Modeling and Design of Medium to Large Scale Microwave and Millimeter-Wave Circuits for Communication Systems
通信系统中大规模微波和毫米波电路的智能建模和设计
  • 批准号:
    RGPIN-2017-05872
  • 财政年份:
    2017
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual
"Efficient Modeling, Design and Optimization Methodologies for Advanced Microwave/Millimeter-Wave Passive Devices"
“先进微波/毫米波无源器件的高效建模、设计和优化方法”
  • 批准号:
    341517-2012
  • 财政年份:
    2015
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual
Efficient design and modeling methodologies for filters and multiplexing networks
滤波器和复用网络的高效设计和建模方法
  • 批准号:
    463235-2014
  • 财政年份:
    2015
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Collaborative Research and Development Grants
"Efficient Modeling, Design and Optimization Methodologies for Advanced Microwave/Millimeter-Wave Passive Devices"
“先进微波/毫米波无源器件的高效建模、设计和优化方法”
  • 批准号:
    341517-2012
  • 财政年份:
    2014
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual
Efficient design and modeling methodologies for filters and multiplexing networks
滤波器和复用网络的高效设计和建模方法
  • 批准号:
    463235-2014
  • 财政年份:
    2014
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Collaborative Research and Development Grants
"Efficient Modeling, Design and Optimization Methodologies for Advanced Microwave/Millimeter-Wave Passive Devices"
“先进微波/毫米波无源器件的高效建模、设计和优化方法”
  • 批准号:
    341517-2012
  • 财政年份:
    2013
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual

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