Collaborative Research: SWIFT: LARGE: Adaptive Interference Rejection with Synthetic Channel Diversity (AIR SynCD)
合作研究:SWIFT:大型:具有合成信道分集的自适应干扰抑制 (AIR SynCD)
基本信息
- 批准号:2029836
- 负责人:
- 金额:$ 22万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-09-01 至 2024-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
As the demand for wireless services increases and the usable spectrum becomes ever more crowded, wireless systems need to become more robust against interference from many other signals. Radio receivers form the last line of defense, protecting wireless systems from today’s increasingly dynamic and densely occupied spectral environments. This project will develop a novel radio receiver architecture capable of operating across a large portion of the wireless spectrum while simultaneously being capable of adaptively suppressing interferences as they arise. Since interference may change as a function of time and location, an algorithm will be developed to help the receiver adaptively adjust its response to one or more of these interferers so that the system can take advantage of the wireless spectrum whenever and wherever there is a need. Recent explosive growth in internet usage have brought to light humanity’s increasing dependence on wireless access and the significant role wireless radio receivers have in enabling the continued expansion of connectivity. This project has specific plans to educate and train rising engineers, at both the graduate and undergraduate level, to think holistically about the components and operation of wireless systems and establish robust receivers for the future. Specifically, PIs will pilot a new seminar course needed to succeed in a doctoral degree program, which will include managing advisor-advisee relationship, reading and writing research papers, giving effective research presentations, and pursuing a career after graduation. PIs also have plan to partner with Diversity Programs in Engineering at Cornell to recruit incoming doctoral underrepresented minority (URM) students from across all engineering disciplines for the one-hour seminar each week during the Fall semester.The project will horizontally integrate signal processing and algorithm development, circuit design and optimization, and RF component design and tuning to create a new class of receivers able to identify, adapt to, and suppress interference effects while maintaining maximum frequency agility. Research will focus on three integrated and interdependent thrust areas. Design of receiver front-ends that use passive networks (of inductors, capacitors, and other electromagnetic elements) to diversify the inputs from one or more antennas into a larger number of output taps, which then feed into a bank of reduced-power sub-receivers. Such a radio will be able to receive signals from a wide range of frequencies, while providing enough measures of both signal and interference that the byproducts of that interference can be separated from the signals using digital signal processing. This will involve both developing the required circuit theory and optimization tools and designing working prototypes at the printed circuit board and integrated circuit level. Development of digital-domain algorithms to provide control feedback to the front-end to enhance the required diversity for proper suppression. Development of adaptive RF magnetic devices to provide real-time tunability of the passive network. This will involve magnetic material and device development, and require close interaction with the circuit and algorithm designs, to best understand the optimal balance between different component trade-offs, such as between tuning range, component quality factor, and frequency of operation. The proposed new receivers have the potential to enable significant enhancement in adaptive interference mitigation and improve the robustness of future wireless systems.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.
随着无线服务需求的增加和可用频谱变得越来越拥挤,无线系统需要变得更加强大,以抵御来自许多其他信号的干扰,无线电接收器构成最后一道防线,保护无线系统免受当今日益动态和密集占用的频谱的影响。该项目将开发一种新型无线电接收器架构,能够在大部分无线频谱上运行,同时能够自适应地抑制可能随着时间和位置而变化的干扰,并开发一种算法。自适应地帮助接收者调整其对一个或多个干扰源的响应,以便系统可以随时随地利用无线频谱。最近互联网使用的爆炸性增长揭示了人类对无线接入的日益依赖以及无线的重要作用。该项目制定了具体计划,旨在教育和培训研究生和本科生的新兴工程师,让他们全面思考无线系统的组件和操作,并为未来建立强大的接收器。具体来说,PI 将试行新的研讨会课程PI 还计划与康奈尔大学工程多样性项目合作招募人员,以在博士学位课程中取得成功,其中包括导师与顾问的关系、阅读和撰写研究论文、进行有效的研究演示以及毕业后的职业生涯。秋季学期,来自所有工程学科的即将入学的少数族裔 (URM) 博士生每周参加一小时的研讨会。该项目将横向整合信号处理和算法开发、电路设计和优化以及射频组件设计和调谐创建能够识别、适应和抑制干扰效应,同时保持最大频率捷变性的新型接收器。研究将集中于使用无源网络(电感器、电容器)的接收器前端的三个集成和相互依赖的推力领域。 ,和其他电磁元件)将来自一个或多个天线的输入多样化为更多数量的输出抽头,然后将其馈送到一组降低功率的子接收器中。这样的无线电将能够接收来自的信号。广泛的频率范围,同时提供足够的信号和干扰测量,以便可以使用数字信号处理将干扰的副产品与信号分离,这将涉及开发所需的电路理论和优化工具以及设计工作原型。开发数字域算法,为前端提供控制反馈,以增强适当抑制所需的多样性。开发自适应射频磁性器件,以提供无源网络的实时可调性。将涉及磁性材料和器件的开发,需要密切关注与电路和算法设计的交互,以最好地理解不同组件之间的权衡,例如调谐范围、组件品质因数和工作频率之间的最佳平衡,所提出的新接收器有可能显着增强自适应干扰。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力优势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
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Bernd-Peter Paris其他文献
Bernd-Peter Paris的其他文献
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{{ truncateString('Bernd-Peter Paris', 18)}}的其他基金
EAGER: SC2: Efficient, Collaborative Spectrum Sharing through a Systems and Optimal Control Approach
EAGER:SC2:通过系统和最优控制方法实现高效、协作的频谱共享
- 批准号:
1737989 - 财政年份:2017
- 资助金额:
$ 22万 - 项目类别:
Standard Grant
Proposal for a Workshop on Research Directions for Communications After the Internet and Cellular Systems
关于互联网和蜂窝系统之后的通信研究方向研讨会的提案
- 批准号:
0211487 - 财政年份:2002
- 资助金额:
$ 22万 - 项目类别:
Standard Grant
RIA: Self-Adaptive Maximum-Likeihood Sequence Estimation
RIA:自适应最大似然序列估计
- 批准号:
9309044 - 财政年份:1993
- 资助金额:
$ 22万 - 项目类别:
Standard Grant
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