SpecEES: Cooperative Green RF Sensing over Shared Spectrum

SpecEES：共享频谱上的协作绿色射频传感

• 批准号: 1923739
• 负责人: Hongbin Li
• 金额: $ 75万
• 依托单位: Stevens Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1923739&HistoricalAwards=false
• 关键词: SpecEES; Cooperative; Green; RF; Sensing

Radar occupies a significant fraction of the spectrum below 6 GHz. This is a highly congested frequency band also heavily used by wireless communications. In recent years, there has been a growing demand from the wireless sector to free up more of the government-held spectrum, including those allocated to radar, in order to expand mobile broadband capabilities, promote wireless innovation, and boost the economy. Nonetheless, radar stakeholders are often unwilling to share their spectrum due to lack of incentives, as well as concerns over interference from the wireless communication devices that can disrupt the radar operation. This project considers such a spectrum-sharing scenario between radar and wireless communications and proposes a set of research efforts that are aimed to motivate radar stakeholders to open their spectrum for sharing. Specifically, it will develop new spectrum sharing protocols and cooperative radio frequency (RF) sensing techniques that protect, secure, and incentivize the radar users with reward of energy efficiency and enhanced sensing capabilities bestowed by sharing. The proposed research is expected to provide win-win solutions that will not only enable the radar to better detect, image, identify, and track targets with higher energy efficiency, but also allow wireless devices to enjoy significantly improved spectrum access opportunities. On the educational front, this project will offer opportunities for curricula development, training of undergraduate and graduate students, summer research programs targeting local high school students, and recruitment of students from underrepresented groups to this project.This project targets a spectrum sharing scenario, where radar owns and is willing to share its spectrum with wireless communication users under the condition that the radar operation is not to be compromised. The proposed efforts are integrated through the following four research thrusts: (1) a radar-centric cooperative design framework for spectrum sharing that protects the radar while improving the wireless communications; (2) a cooperative illumination approach that allows the radar to exploit wireless communication sources as passive illuminators; (3) a cooperative RF sensing paradigm whereby the radar and multiple spectrum-sharing communication devices cooperatively perform a distributed RF sensing task; and (4) security and privacy with radar and communication cross design that capitalizes on a new hybrid authentication scheme using integrated cryptographic credentials and non-cryptographic device fingerprints. The proposed RF sensing framework allows the radar to constructively employ co-channel communication sources as passive illuminators, which provide free illumination power and, more importantly, additional multi-static sensing geometries that enable the radar to achieve enhanced sensing capability and energy efficiency, i.e., the green RF sensing. To address the security and privacy issues inherent in the proposed framework, this project will develop a new hybrid authentication scheme that leverages unique device fingerprints and data analytics tools including deep learning to secure the proposed spectrum sharing and cooperative sensing solutions.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.

雷达占据了6ghz以下频谱的很大一部分。这是一个高度拥挤的频段，无线通信也大量使用。近年来，无线行业越来越需要释放更多政府持有的频谱，包括分配给雷达的频谱，以扩大移动宽带能力，促进无线创新，促进经济发展。尽管如此，雷达利益相关者往往不愿意分享他们的频谱，因为缺乏激励，以及担心来自无线通信设备的干扰，可能会破坏雷达的操作。该项目考虑了雷达和无线通信之间的频谱共享场景，并提出了一系列旨在激励雷达利益相关者开放其频谱共享的研究工作。具体而言，它将开发新的频谱共享协议和合作射频（RF）传感技术，以保护、保护和激励雷达用户，并通过共享获得能源效率和增强的传感能力。拟议的研究预计将提供双赢的解决方案，不仅使雷达能够以更高的能效更好地探测、成像、识别和跟踪目标，而且还允许无线设备享受显着改善的频谱访问机会。在教育方面，该项目将提供课程开发、本科生和研究生培训、针对当地高中生的暑期研究项目以及从代表性不足的群体招募学生参加该项目的机会。本项目针对频谱共享场景，在不影响雷达运行的前提下，雷达拥有并愿意与无线通信用户共享其频谱。提出的工作通过以下四个研究重点进行整合：(1)以雷达为中心的频谱共享合作设计框架，在改善无线通信的同时保护雷达；(2)协同照明方法，允许雷达利用无线通信源作为无源照明；(3)协同射频感知范例，其中雷达和多个频谱共享通信设备协同执行分布式射频感知任务；(4)雷达和通信交叉设计的安全性和隐私性，利用集成加密凭证和非加密设备指纹的新型混合身份验证方案。提出的射频传感框架允许雷达建设性地采用同信道通信源作为无源照明，提供免费照明功率，更重要的是，额外的多静态传感几何形状使雷达能够实现增强的传感能力和能源效率，即绿色射频传感。为了解决拟议框架中固有的安全和隐私问题，该项目将开发一种新的混合身份验证方案，该方案利用独特的设备指纹和数据分析工具（包括深度学习）来确保拟议的频谱共享和协作传感解决方案。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

An Overview of Parametric Modeling and Methods for Radar Target Detection With Limited Data

有限数据下雷达目标检测参数化建模和方法概述

• DOI: 10.1109/access.2021.3074063
• 发表时间: 2021
• 期刊: IEEE Access
• 影响因子: 3.9
• 作者: Wang, Fangzhou;Wang, Pu;Zhang, Xin;Li, Hongbin;Himed, Braham
• 通讯作者: Himed, Braham

Target Detection With Imperfect Waveform Separation in Distributed MIMO Radar

• DOI: 10.1109/tsp.2020.2964227
• 发表时间: 2020-01-01
• 期刊: IEEE TRANSACTIONS ON SIGNAL PROCESSING
• 影响因子: 5.4
• 作者: Wang, Pu;Li, Hongbin
• 通讯作者: Li, Hongbin

Joint Waveform and Receiver Design for Co-Channel Hybrid Active-Passive Sensing With Timing Uncertainty

• DOI: 10.1109/tsp.2020.2964194
• 发表时间: 2019-08
• 期刊: IEEE Transactions on Signal Processing
• 影响因子: 5.4
• 作者: Fangzhou Wang;Hongbin Li

Secure Device Trust Bootstrapping Against Collaborative Signal Modification Attacks

• DOI: 10.1109/infocom53939.2023.10229007
• 发表时间: 2023-05
• 期刊: IEEE INFOCOM 2023 - IEEE Conference on Computer Communications
• 作者: Xiaochan Xue;Shucheng Yu;Min Song

An Efficient Method for Cooperative Multi-Target Localization in Automotive Radar

汽车雷达多目标协同定位的有效方法

• DOI: 10.1109/lsp.2021.3121626
• 发表时间: 2022
• 期刊: IEEE Signal Processing Letters
• 影响因子: 3.9
• 作者: Zhang, Xudong;Wang, Fangzhou;Li, Hongbin
• 通讯作者: Li, Hongbin