课题基金 / 基金详情

Near-Field Radar Principles and Low Contrast Target Imaging Methods

Near-Field Radar Principles and Low Contrast Target Imaging Methods
近场雷达原理和低对比度目标成像方法
批准号:
RGPIN-2018-05125
负责人:
Karumudi, Rambabu
金额:
$3.35万
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:
2019
资助国家:
加拿大
项目状态:
已结题
起止时间:
2019-01-01 至 2020-12-31

项目摘要

项目成果

Karumudi, Rambabu的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
Radar is becoming a widely applied sensor technology for modern applications such as the Internet of Things (IoT) location based services, hand gesture interaction to control wearable electronics - virtual tools, and as an imaging tool for medical diagnosis, monitoring seed germination, oil well monitoring, and tunnel boring machine guidance and control. Most of these applications are very short range, sometimes within a few centimeters (near-field), and demand high precision ranging and image resolution.******In radar methods, travel time of the reflected wave are considered for sensing and imaging. In measurements the radar and target are positioned at a far distance. The fundamental limitation of this imaging method is diffraction limit. To improve the image resolution beyond the diffraction limit, some of the energy from the target proximity should be captured which is defined as a near-field interaction between the radar and the target.******In radar near-field the electric and magnetic fields are very complex either in the frequency domain or in time domain. In the near-field of a time domain radar the pulse shape is not stable, and the pulse propagation is faster than the speed of light. To take the advantage of near-field interaction to improve the detection and imaging capability of the radar, a thorough understanding of the near-field principles and imaging algorithms are needed.******My research program will develop principles and theoretical framework for the near-field radars, methods for near-field imaging, and implement various imaging applications. The goals of the research are to understand the physics of time-domain near-field radars and to develop the radar systems for short range applications that achieve image resolutions beyond the diffraction limit. The application for the research are to (i) Develop a technology, by exploiting near-field interaction of the radar with the target, to monitor small perforations in narrow metal pipes and oil wells, (ii) Develop a technology to image the nonlinear targets such as electronic components improvised explosive devices (IEDs) and their detonators, (iii) Develop microwave imaging technology (MIT) to image low contrast dielectric discontinuities where the difference in dielectric constant is lower than 10%.******This research bridges the technology gap between the traditional far-field radar imaging and microscopic techniques by improving the radar imaging resolution beyond the traditional expectations, while being cost effective, easy to operate, and providing near-real time imaging for various applications. They can bring revolution in medical diagnosis tools, virtual tools to control wearable electronics, and sensors for modern Internet-of-Things based solutions.*****************
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Near-Field Radar Principles and Low Contrast Target Imaging Methods
  • 批准号:
    RGPIN-2018-05125
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $6.7万
  • 财政年份:
    2022
  • 负责人:
    Karumudi, Rambabu
  • 依托单位:
Near-Field Radar Principles and Low Contrast Target Imaging Methods
  • 批准号:
    RGPIN-2018-05125
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.35万
  • 财政年份:
    2021
  • 负责人:
    Karumudi, Rambabu
  • 依托单位:
Near-Field Radar Principles and Low Contrast Target Imaging Methods
  • 批准号:
    RGPIN-2018-05125
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.35万
  • 财政年份:
    2020
  • 负责人:
    Karumudi, Rambabu
  • 依托单位:
Ultra wideband microwave imaging system for rock and metal detection upstream of the crusher
  • 批准号:
    516085-2017
  • 项目类别:
    Collaborative Research and Development Grants
  • 资助金额:
    $7.29万
  • 财政年份:
    2020
  • 负责人:
    Karumudi, Rambabu
  • 依托单位:
国内基金
海外基金
Graphon mean field games with partial observation and application to failure detection in distributed systems
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2025
  • 负责人:
    MATHIEULOUROCHLAURIERE
  • 依托单位:
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位:
新型Field-SEA多尺度溶剂模型的开发与应用研究
  • 批准号:
    21506066
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    21.0万元
  • 批准年份:
    2015
  • 负责人:
    李理波
  • 依托单位: