SBIR Phase II: 3D Photonic Filters for Full Duplex, Interference Free Network Links

SBIR 第二阶段:用于全双工、无干扰网络链路的 3D 光子滤波器

基本信息

  • 批准号:
    1926684
  • 负责人:
  • 金额:
    $ 70.49万
  • 依托单位:
  • 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:
    2019-10-01 至 2022-06-30
  • 项目状态:
    已结题

项目摘要

The broader impact/commercial potential of this project include the ability to meet the requirements of cable infrastructure while opening additional markets in spectrum allocation by solving key technical problems. There is a massive need for improved connectivity for both fixed and mobile applications, in both urban and rural communities, within the nation. Wired infrastructure has struggled to keep up with the needs of users due to the large capital involved in deploying fiber to communities. Additionally, new applications like Internet of Things (IoT) and autonomous vehicles are entirely reliant on wireless technologies. Mobile data usage has been experiencing exponential growth, 92% CAGR from 2006-2016. Current mobile infrastructure cannot support next generation applications like remote healthcare, vehicle-to-vehicle and vehicle-to-infrastructure communication for self-driving vehicles and next generation connected farming. These applications are constrained by the available bandwidth, low reliability and high latency of today's mobile networks. The industry is looking to expand reach and capacity of existing infrastructure to enable these applications with the potential to drastically communication. This Small Business Innovation Research Phase II project will build upon the existing low-loss photonic integrated circuit (PIC) Finite Impulse Response (FIR) filter technology developed under Phase I by demonstrating a commercially viable three-dimensional (3D) PIC filter and canceler. The intellectual merit centers around the 3D PIC architecture with fast layer switching and ultra-low-loss waveguides for creating highly adaptable, tunable true time delays and detailed characterization of interfering signals in complex, dynamic multi-path reflection environments in cable and wireless solutions. The 3D PIC system aims to achieve under this project: total interference cancellation of 100 dB; small die footprint for a multi-tap cancellation FIR filter; high-speed switching; demonstration of full duplex communication links; and demonstration of band leakage and PIM interference cancellation in a laboratory environment. The improved designs will allow targeting additional markets in wireless communication involving complex interference cancellation scenarios that today severely limit spectrum utilization and network throughput. The proposed 3D PICs not only enable full duplex operation (co-channel self-interference) but also adjacent channel cancellation (guard band elimination) and passive intermodulation distortion (PIM) cancellation for higher throughput backhaul.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.
该项目更广泛的影响/商业潜力包括能够满足有线基础设施的要求,同时通过解决关键技术问题打开频谱分配的额外市场。国内城市和农村社区都迫切需要改善固定和移动应用的连接性。由于向社区部署光纤需要大量资金,有线基础设施一直难以满足用户的需求。此外,物联网 (IoT) 和自动驾驶汽车等新应用完全依赖于无线技术。移动数据使用量呈指数级增长,2006 年至 2016 年复合年增长率为 92%。当前的移动基础设施无法支持下一代应用,例如远程医疗保健、自动驾驶车辆的车辆对车辆和车辆对基础设施通信以及下一代互联农业。这些应用程序受到当今移动网络的可用带宽、低可靠性和高延迟的限制。该行业正在寻求扩大现有基础设施的覆盖范围和容量,以使这些应用程序具有大幅通信的潜力。该小型企业创新研究第二阶段项目将建立在第一阶段开发的现有低损耗光子集成电路 (PIC) 有限脉冲响应 (FIR) 滤波器技术的基础上,展示商业上可行的三维 (3D) PIC 滤波器和消除器。其智力优势集中在 3D PIC 架构上,该架构具有快速层切换和超低损耗波导,可在有线和无线解决方案中的复杂、动态多路径反射环境中创建高度适应性、可调谐的真实时间延迟和干扰信号的详细表征。 3D PIC系统在该项目下的目标是:总干扰消除100 dB;多抽头消除 FIR 滤波器的芯片占用空间小;高速开关;全双工通信链路演示;以及在实验室环境中演示频带泄漏和 PIM 干扰消除。改进的设计将允许瞄准涉及复杂干扰消除场景的无线通信领域的其他市场,这些场景目前严重限制了频谱利用率和网络吞吐量。拟议的 3D PIC 不仅支持全双工操作(同信道自干扰),而且还支持邻信道消除(保护带消除)和无源互调失真 (PIM) 消除,以实现更高吞吐量的回程。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力优点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

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Brian Mattis其他文献

Microresonator photonic wire bond integration for Kerr-microcomb generation
  • DOI:
    10.1038/s41598-024-79945-4
  • 发表时间:
    2024-11-23
  • 期刊:
  • 影响因子:
    3.900
  • 作者:
    Alain Yuji Takabayashi;Nikolay Pavlov;Victoria Rosborough;Galen Hoffman;Lou Kanger;Farzad Mokhtari Koushyar;Taran Huffman;Mike Nelson;Charles Turner;Leif Johansson;Juergen Musolf;Henry Garrett;Thomas Liu;Gordon Morrison;Yanne Chembo;Brian Mattis;Thien-An Nguyen;Mackenzie Van Camp;Steven Eugene Turner;Maxim Karpov;John Jost;Zakary Burkley
  • 通讯作者:
    Zakary Burkley

Brian Mattis的其他文献

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