Low-cost Compact Radar Systems for Detection, Monitoring and Diagnostics

用于检测、监控和诊断的低成本紧凑型雷达系统

• 批准号: RGPIN-2017-06058
• 负责人: Nikolova, Natalia
• 金额: $ 3.42万
• 依托单位: McMaster University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=660967
• 关键词: Low; cost; Compact; Radar; Systems

THE OBJECTIVE of the proposed research program is to develop low-cost and compact sensors for imaging and detection in the microwave frequency range. These sensors will enable integration into the large-scale cognitive sensing networks of the future. The research will involve: (a) hardware design and system integration targeting portable and wearable deployment, and (b) imaging and detection algorithms.***(a) HARDWARE: The sensors will consist of arrays of miniaturized radio units (chip radios integrated with antennas). Implementation on flexible substrates and fabrics will also be investigated for wearable deployment. Small unit size and bias-switched architecture will eliminate expensive and large radio-frequency (RF) components. The RF signal will be down-converted right at the antenna terminals allowing for replacing the microwave intetrconnects with low-frequency (LF) signal traces, which are cheaper and less prone to parasitics. This will drastically reduce signal loss and distortion. We will exploit the unprecedented miniaturization of microwave electronics in the last decade. The software-defined radio paradigm will allow for frequency agility and diversity. Due to these advancements, ubiquitous expansion of microwave imaging, detection and surveillance is anticipated. My team aspires to be in the forefront of this research.***(b) ALGORITHMS: My team is a leader in the methods of real-time microwave imaging and detection. In recent years, we have made these methods not only faster (so that they can image larger objects with finer resolution) but also quantitative, which translates into enhanced detection and identification. We have also developed real-time detection methods for concealed weapon detection (CWD). The next stage of this research will focus on fast iterative reconstruction algorithms and the development of learning and adapting software capabilities. This will enable the real-time imaging and detection in a complex, possibly dynamic, environment and will allow for the best use of a priori information. This is important in applications such as: (i) cancer detection through regular screening, (ii) security surveillance for on-body CWD of moving targets, and (iii) real-time nondestructive monitoring for structural integrity.***The significance of this project is in the plethora of applications that it will enable. Wireless technology has revolutionized society through high-speed wide-coverage information flow among machines and humans. The next frontier is the development of imaging and detection systems that will provide solutions ranging from medical diagnostics, to defect detection, to CWD. Canada is well-positioned to be a leader in this innovation through existing expertise, to which my team contributes. This project will train young researchers in this multidisciplinary field of science and technology preparing them for the jobs of the future.

拟议的研究计划的目的是开发低成本和紧凑的传感器，以在微波频率范围内进行成像和检测。这些传感器将使将来的大规模认知传感网络集成到未来的大规模认知传感网络中。该研究将涉及：（a）针对便携式和可穿戴部署的硬件设计和系统集成，以及（b）成像和检测算法。***（a）硬件：传感器将由小型无线电单元（与天线集成）组成。在柔性基材和织物上的实施也将进行调查，以进行可穿戴部署。小型单位尺寸和偏置开关的建筑将消除昂贵且大型的射频组件。 RF信号将在天线端子上向下转换，以允许使用低频（LF）信号痕迹代替微波式intetrconnect，这些信号痕迹较便宜且易于寄生。这将大大减少信号丢失和失真。在过去十年中，我们将利用微波电子的前所未有的微型化。软件定义的无线电范式将允许频率敏捷性和多样性。由于这些进步，预计微波成像，检测和监视的无处不在。我的团队渴望成为这项研究的最前沿。***（b）算法：我的团队是实时微波成像和检测方法的领导者。近年来，我们使这些方法不仅更快（以便它们可以用更精细的分辨率成像较大的对象），还可以定量化，从而转化为增强的检测和识别。我们还开发了隐藏武器检测（CWD）的实时检测方法。这项研究的下一个阶段将着重于快速迭代重建算法以及学习和适应软件功能的发展。这将在复杂的，可能是动态的环境中实现实时成像和检测，并可以充分利用先验信息。这在以下应用中很重要：（i）通过定期筛选，（ii）移动目标体内CWD的安全性监视，以及（iii）实时的无损监测结构完整性。无线技术通过机器和人类之间的高速广泛信息流进行了彻底改变社会。下一个前沿是成像和检测系统的开发，该系统将提供从医学诊断到缺陷检测到CWD等方案。通过现有的专业知识，加拿大可以成为这项创新的领导者，我的团队为此做出了贡献。该项目将在这个科学技术的多学科领域中培训年轻的研究人员，为未来的工作做准备。