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SpecEES: Cooperative Green RF Sensing over Shared Spectrum

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:
$75.0万
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
项目状态:
已结题
起止时间:
2019-09-01 至 2024-08-31

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中文摘要
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英文摘要
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.
期刊论文(20)
专著(0)
科研奖励(0)
会议论文
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
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
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]
通讯作者: Fangzhou Wang;Hongbin Li
DOI: 10.1109/infocom53939.2023.10229007
发表时间: 2023-05
期刊: IEEE INFOCOM 2023 - IEEE Conference on Computer Communications
影响因子: --
作者: [Xiaochan Xue;Shucheng Yu;Min Song]
通讯作者: Xiaochan Xue;Shucheng Yu;Min Song
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    • 批准号:
      2332534
    • 项目类别:
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    • 资助金额:
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    • 财政年份:
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    • 项目类别:
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    • 资助金额:
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    Leveraging Bandwidth-Rich Wireless Signals for Passive Localization of RF-Silent Mobile Objects
    • 批准号:
      2212940
    • 项目类别:
      Standard Grant
    • 资助金额:
      $36.0万
    • 财政年份:
      2022
    • 负责人:
      Hongbin Li
    • 依托单位:
    Signal Processing for Passive RF Sensing
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      1609393
    • 项目类别:
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    • 依托单位:
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