NeTS: Medium: Collaborative Research: In-Band Full-Duplex Underwater Acoustic Networks

NeTS:媒介:协作研究:带内全双工水下声学网络

基本信息

  • 批准号:
    1704076
  • 负责人:
  • 金额:
    $ 40万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2017
  • 资助国家:
    美国
  • 起止时间:
    2017-06-01 至 2022-05-31
  • 项目状态:
    已结题

项目摘要

Wireless communication technologies in the ocean are critical to scientific, commercial, and national defense operations, and yet are still primitive, especially with respect to their data rates and reliability. This project develops new underwater acoustic communications and networking strategies to improve network efficiency in the harsh ocean environment, through underwater in-band full-duplex (IBFD) acoustic networks. The project creates a vertically integrated research experience for both undergraduate and graduate students by exposing them to interdisciplinary research. Through partnerships with local communities, the project investigators develop outreach programs to attract future students, especially those from minority and under-represented communities, to STEM disciplines.The objectives of the project is to develop innovative acoustic IBFD networks that contain: 1) spectrally efficient physical layer receivers capable of acoustic-specific self-interference cancellation, and 2) cross-layer protocols allowing enhanced network efficiency via IBFD. Guided by a cross-layer, interdisciplinary methodology, the project includes four research tasks: 1) Interference cancellation through acoustic-specific methods; 2) Prototyping of acoustic IBFD modems and networks, 3) Field experiments to evaluate acoustic IBFD communications and networking, and 4) Development of cross-layer simulation and optimization toolboxes. To maximize outcomes, this project leverages a range of existing instruments, resources, tools, and design experiences from the research team.
海洋中的无线通信技术对科学、商业和国防行动至关重要,但仍然很原始,特别是在数据速率和可靠性方面。该项目开发新的水下声学通信和网络策略,通过水下带内全双工(IBFD)声学网络提高恶劣海洋环境中的网络效率。该项目通过让本科生和研究生接触跨学科研究,为他们创造了垂直整合的研究体验。通过与当地社区的伙伴关系,项目研究人员开发推广计划,以吸引未来的学生,特别是那些来自少数民族和代表性不足的社区,STEM学科。该项目的目标是开发创新的声学IBFD网络,包括:1)能够进行声学特定的自干扰消除的频谱高效的物理层接收机,以及2)跨层协议,其允许经由IBFD增强网络效率。在跨层、跨学科方法的指导下,该项目包括四项研究任务:1)通过声学特定方法消除干扰; 2)声学IBFD调制解调器和网络的原型设计; 3)评估声学IBFD通信和网络的现场实验;以及4)跨层仿真和优化工具箱的开发。为了最大限度地提高成果,该项目利用了一系列现有的工具,资源,工具和设计经验的研究团队。

项目成果

期刊论文数量(5)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
An Adaptive Receiver for Underwater Acoustic Full-Duplex Communication with Joint Tracking of the Remote and Self-Interference Channels
远程和自干扰通道联合跟踪的水声全双工通信自适应接收机
Self-interference Characterization for In-Band Full Duplex Underwater Acoustic Communications
Self-Interference Channel Characterization in Underwater Acoustic In-Band Full-Duplex Communications Using OFDM
  • DOI:
    10.1109/ieeeconf38699.2020.9389027
  • 发表时间:
    2020-05
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Mohammad Towliat;Zheng Guo;L. Cimini;X. Xia;A. Song
  • 通讯作者:
    Mohammad Towliat;Zheng Guo;L. Cimini;X. Xia;A. Song
In-Band Full-Duplex Underwater Acoustic Communication Measurements: Self-interference
带内全双工水下声学通信测量:自干扰
  • DOI:
    10.21227/ecjt-ze13
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Guo, Zheng;Song, Aijun
  • 通讯作者:
    Song, Aijun
Impact of channel fluctuations on channel estimation performance in the underwater acoustic environment
水声环境中信道波动对信道估计性能的影响
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Aijun Song其他文献

Association of loneliness with the risk of pain in older Chinese adults
  • DOI:
    10.1038/s41598-025-87679-0
  • 发表时间:
    2025-02-04
  • 期刊:
  • 影响因子:
    3.900
  • 作者:
    Aijun Song;Siying Yu;Yao Shen;Zongyan Guo;Jian Shi
  • 通讯作者:
    Jian Shi
Iterative estimation of doubly selectiveunderwater acoustic channel using basis expansion models
使用基扩展模型的双选择性水声通道迭代估计
  • DOI:
    10.1016/j.adhoc.2015.01.016
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    4.8
  • 作者:
    余华;Aijun Song;M. Badiey;陈芳炯;季飞
  • 通讯作者:
    季飞
A Clinical Risk Score for Prediction of Stent Thrombosis
  • DOI:
    10.1016/j.amjcard.2008.04.068
  • 发表时间:
    2008-09-01
  • 期刊:
  • 影响因子:
  • 作者:
    Kenneth W. Baran;John M. Lasala;David A. Cox;Aijun Song;Mahesh C. Deshpande;Mary V. Jacoski;Stephen R. Mascioli; ARRIVE Investigators
  • 通讯作者:
    ARRIVE Investigators
Statistical analysis and hybrid modeling of high-frequency underwater acoustic channels affected by wind-driven surface waves
A Kriged Compressive Sensing Approach to Reconstruct Acoustic Fields From Measurements Collected by Underwater Vehicles
根据水下航行器收集的测量数据重建声场的克里格压缩感知方法
  • DOI:
    10.1109/joe.2020.2974270
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    4.1
  • 作者:
    Jie Sun;Shijie Liu;Fumin Zhang;Aijun Song;Jiancheng Yu;Aiqun Zhang
  • 通讯作者:
    Aiqun Zhang

Aijun Song的其他文献

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{{ truncateString('Aijun Song', 18)}}的其他基金

CAREER: Mobile Underwater Communications Networks Supported by Autonomous Surface Vehicles
职业:自主水面车辆支持的移动水下通信网络
  • 批准号:
    2048188
  • 财政年份:
    2021
  • 资助金额:
    $ 40万
  • 项目类别:
    Continuing Grant
CCRI: Medium: Collaborative Research: mu-Net: Infrastructure to Advance Mobile Underwater Wireless Networking Research
CCRI:媒介:合作研究:mu-Net:推进移动水下无线网络研究的基础设施
  • 批准号:
    2016726
  • 财政年份:
    2020
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
NSF Student Travel Grant for 2019 ACM International Conference on Underwater Networks (WUWNet)
2019 年 ACM 国际水下网络会议 (WUWNet) 的 NSF 学生旅行补助金
  • 批准号:
    1939340
  • 财政年份:
    2019
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
MRI: Development of an Underwater Mobile Testbed Using a Software-Defined Networking Architecture
MRI:使用软件定义的网络架构开发水下移动测试台
  • 批准号:
    1828678
  • 财政年份:
    2018
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
NeTS: Medium: Collaborative Research: Riding the Stress Wave: Integrated Monitoring, Communications, and Networking for Subsea Infrastructure
NeTS:媒介:协作研究:驾驭压力浪潮:海底基础设施的集成监控、通信和网络
  • 批准号:
    1801861
  • 财政年份:
    2018
  • 资助金额:
    $ 40万
  • 项目类别:
    Continuing Grant

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