Collaborative Research: SWIFT: SMALL: Continuous-tuning matrix-beamforming MIMO enabled multi-mode injection-locking passive Wi-Fi sensing

合作研究：SWIFT：SMALL：支持连续调谐矩阵波束成形 MIMO 的多模式注入锁定无源 Wi-Fi 传感

• 批准号: 2124531
• 负责人: Bayaner Arigong
• 金额: $ 25万
• 依托单位: Florida Agricultural and Mechanical University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-02-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2124531&HistoricalAwards=false
• 关键词: Collaborative; Research; SWIFT; SMALL; Continuous

Wi-Fi based sensing is attracting great interests for emerging applications such as vital signs monitoring, gesture recognition, through-the-wall imaging, and indoor localization. However, the state-of-the-art Wi-Fi sensing systems either require modification to the Wi-Fi access point, or do not have enough sensitivity/resolution to reliably support applications such as long-term micro-motion sensing. Conventional single mode operation also faces challenges in the presence of multiple human subjects. To tackle these challenges, in this project, a novel multi-mode passive Wi-Fi sensing system leveraging continuous tunable matrix beamforming and multi-mode injection lock detection technologies will be developed to transform current and next generation Wi-Fi infrastructure to enable many sensing applications for smart health care, human-machine interface, localization, public safety, and smart living. The proposed sensing system features low cost, low power, wide dynamic range, high sensitivity, continuous multiple-object tracking, and multiple-mode configuration with less computational effort. The research outcome may benefit the long-term U.S. health program and aim to make modern living and office environment smart with minimum added hardware costs and no extra spectrum resources. On the educational side, the project will create rich impacts on education for K-12, undergraduate, and underrepresented groups. It will also cultivate entrepreneurship mindset and integrate industrial experience into students training. This project focuses on new innovations in passive Wi-Fi sensing technology based on existing wireless infrastructure to boost its spectrum utilization efficiency. To be specific, the following innovations will be pursued: a) An advanced Nolen matrix beamforming and a group delay compensation inspired wideband methodology will be invented to support concurrent multiple target sensing across a wide Wi-Fi frequency band. Furthermore, 3D detection will be enabled by 3D design of the proposed beamforming array. b) A phase shifter-relaxed and control relaxed circuit topology will be developed to steer the multiple beams generated by the proposed matrix network, which facilitates 3D tracking characteristic for passive Wi-Fi sensing with low power consumption, low computation load, low hardware cost, and a compact size. c) A passive injection-locked detection architecture and advanced signal processing algorithms will be invented to meet the high sensitivity and wide dynamic range requirements that challenge conventional sensing approach. Empowered by matrix beamforming, the proposed architecture and signal processing will break the boundary and enable low-power passive sensing of micro-motions. d) A passive/active switchable detection architecture is proposed to support multiple operation modes such as micro-Doppler, frequency-modulated continuous-wave (FMCW) and frequency-shift keying (FSK) detection in various application scenarios. e) 3D glass technology, antenna-in-package (AiP), and flexible wearable tags will be developed to integrate a passive Wi-Fi system platform with compact size, low cost, and high performance.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

基于Wi-Fi的传感吸引了新兴应用，例如生命体征监测，手势识别，壁画成像和室内定位。但是，最先进的Wi-Fi传感系统要么需要修改Wi-Fi接入点，要么没有足够的灵敏度/分辨率来可靠地支持长期微动感感应。常规的单模式操作在存在多个人类受试者的情况下还面临挑战。为了应对这些挑战，在这个项目中，将开发一种新型的多模式无源Wi-Fi传感系统，利用连续可调的矩阵仪表形成和多模式注入锁定检测技术，以改变当前和下一代Wi-Fi基础架构，以启用许多传感应用程序，以启用许多传感应用程序，以启用许多传感应用程序，以智能医疗保健，人工界面，人工界面，公共安全，公共安全，和智能生活，以及智能，和智能生活。提出的传感系统具有低成本，低功率，宽动态范围，高灵敏度，连续的多对象跟踪以及多模式配置，并以较少的计算工作。研究结果可能会使美国长期卫生计划受益，并旨在使现代生活和办公环境以最低添加的硬件成本而没有额外的频谱资源来使现代生活和办公室环境变得聪明。在教育方面，该项目将对K-12，本科和代表性不足的团体产生重大影响。它还将培养企业家心态，并将工业经验纳入学生培训。 该项目着重于基于现有的无线基础架构的被动Wi-Fi传感技术的新创新，以提高其频谱利用效率。具体而言，将追求以下创新：a）将发明高级NOLEN矩阵界定和集体延迟补偿启发的宽带方法，以支持跨Wi-Fi频段的同时进行多个目标传感。此外，将通过提出的波束形成阵列的3D设计启用3D检测。 b）将开发出相移 - 放松和控制放松的电路拓扑结构，以引导拟议的矩阵网络产生的多个光束，该矩阵网络促进了3D跟踪特征，用于被动Wi-Fi传感，具有低功耗，低计算负载，低计算负载，低硬件成本和紧凑的大小。 c）将发明一种被动注入锁定的检测体系结构和高级信号处理算法，以满足挑战常规传感方法的高灵敏度和广泛的动态范围要求。通过矩阵束缚的能力，提出的架构和信号处理将打破边界，并使微动物的低功率被动传感能够打破边界。 d）提出了一种被动/主动的可切换检测体系结构，以支持多种操作模式，例如微型多普勒，频率调制的连续波（FMCW）和频率偏移键合（FSK）检测。 e）将开发3D玻璃技术，包装天线（AIP）和灵活的可穿戴标签，以整合具有紧凑型，低成本和高性能的被动Wi-Fi系统平台。该奖项反映了NSF的法定任务，并已被认为是通过该基金会的知识分子功能和广泛影响的评估来评估CRITERIA的评估。

项目成果

Full 3D Coverage Beamforming Phased Array with Reduced Phase Shifters and Control 2D Tunable 3 × 3 Nolen Matrix

• DOI: 10.1109/past49659.2022.9975005
• 发表时间: 2022-10
• 期刊: 2022 IEEE International Symposium on Phased Array Systems & Technology (PAST)
• 作者: Hanxiang Zhang;Bayaner Arigona

A Fully Symmetrical Uni-Planar Microstrip Line Comparator Network for Monopulse Antenna

用于单脉冲天线的全对称单平面微带线比较器网络

• DOI: 10.1109/lmwt.2023.3235580
• 发表时间: 2023
• 期刊: IEEE Microwave and Wireless Technology Letters
• 作者: Zhang, Hanxiang;Ren, Han;Gu, Yixin;Arigong, Bayaner
• 通讯作者: Arigong, Bayaner

3D-Printed Low-Profile X-Band Tunable Phase Shifter

3D 打印薄型 X 波段可调谐移相器

• DOI: 10.1109/wamicon57636.2023.10124923
• 发表时间: 2023
• 期刊: 2023 IEEE Wireless and Microwave Technology Conference (WAMICON
• 作者: Zhang, Hanxiang;Bahr, Ryan;Arigong, Bayaner
• 通讯作者: Arigong, Bayaner

A Novel Direction of Arrival Estimation Planar Monopulse Receiver

一种新的到达估计平面单脉冲接收机方向

• DOI: 10.1109/wmcs58822.2023.10194269
• 发表时间: 2023
• 期刊: 2023 IEEE Texas Symposium on Wireless and Microwave Circuits and Systems (WMCS
• 作者: Zhang, Hanxiang;Liu, Powei;Arigong, Bayaner
• 通讯作者: Arigong, Bayaner

A Real Time RF Analog Signal Processor for Time Delay Estimation

用于时延估计的实时射频模拟信号处理器

• DOI: 10.1109/wamicon53991.2022.9786168
• 发表时间: 2022
• 期刊: 2022 IEEE 22nd Annual Wireless and Microwave Technology Conference (WAMICON
• 作者: Zhang, Hanxiang;Arigong, Bayaner
• 通讯作者: Arigong, Bayaner