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Modeling and Optimization of Ultrafast and Low-Noise Thin Avalanche Photodiodes for Optical Communications

Modeling and Optimization of Ultrafast and Low-Noise Thin Avalanche Photodiodes for Optical Communications
用于光通信的超快低噪声薄型雪崩光电二极管的建模和优化
批准号:
0010047
负责人:
Majeed Hayat
金额:
$29.98万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2001
资助国家:
美国
项目状态:
已结题
起止时间:
2001-06-01 至 2001-10-31

项目摘要

项目成果

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中文摘要
翻译
这个研究项目是一个理论和实验跨学科的努力,将导致新一代的超快和高精度光电探测器的设计。该计划将重点关注被广泛使用的光电探测器,即薄雪崩光电二极管(apd)。该计划的动机是满足下一代光核心网络日益增长的带宽需求,需要开发新一代低噪声和高响应度光电探测器,其增益带宽产品远远超过当前的最先进技术。此外,由于光波网络的能力最终受到其架构和组件性能的限制,因此彻底了解适用光电探测器的基本性能限制将对未来通信网络的设计产生重大影响。此外,随着宽禁带材料技术在各种高精度和超快传感应用中的应用日益广泛,需要使用CaN等宽禁带材料开发高性能光电探测器。该项目的第一个目标是开发和验证一个严格的基于更新理论的模型,用于联合统计apd的增益和响应时间。该模型将适用于各种结构和材料的APDS,特别强调具有低乘法噪声和高带宽的薄型APDS。该理论将特别捕捉到死区(dead space)的重要影响,死区在薄apd的性能中起着主要作用,并显著影响超快(符号间干扰限制)和大功率(增益波动限制)应用的性能。通过减小影响器件增益的APD倍增层的厚度,可以显著改善噪声和带宽特性。迄今为止,薄apd增益-带宽乘积统计的基本限制,更值得注意的是,减少倍增层厚度对响应时间波动的影响仍然未知。本研究将彻底解决这些问题,并确定APD性能的基本限制。该项目的第二个目标是利用所开发的模型来设计和开发下一代高性能APD。器件制造和表征将在位于奥斯汀的德克萨斯大学微电子研究中心的现有设施中进行。为了设计具有特定应用最佳特性的器件,将深入研究器件雪崩倍增层厚度所起的作用。增益带宽产品远超过500千兆赫(带宽50-100千兆赫)的低噪声器件将在该计划中开发。优化标准将包括a)在固定误码率下最大化数据传输速率,这适用于限制符号间干扰的通信系统,以及B)在功率限制的传感应用中最大化接收器信噪比。作为实现上述目标的工具,将设计一个CAD工具,该工具由定制的并行计算算法组成,旨在高性能地实现模型和优化过程。该项目的研究人员在光电器件建模和制造方面有着良好的记录,他们之间的协同作用可以导致具有卓越性能特征的器件的发展。该项目开发的器件将适用于工作频率为40hz(每通道)及以上的下一代光波系统。
英文摘要
This research program is a theoretical and experimental interdisciplinary effort that will lead to the design of a new generation of ultrafast and high-accuracy photodetectors. The program will focus on the widely-used class of photodetectors known as thin avalanche photodiodes (APDs). This program is motivated by the need to meet the increasing demand for bandwidth in next-generation optical core networks, where there is a need to develop a new generation of low-noise and high responsivity photodetectors with gain-bandwidth products that are far beyond the current state-of-the-art. Moreover, since the capability of a lightwave network is ultimately limited by its architecture and the performance of its components, a thorough understanding of the fundamental performance limits of applicable photodetectors significantly impacts the design of future communication networks. In addition, with the emerging int~rest in using wide-bandgap-material technology in various high- accuracy and ultrafast sensing applications, there is a need for the development of high-performance photodetectors using wide-bandgap materials such as CaN.The first goal of this project is to develop and validate a rigorous renewal-theory-based model for the joint statistics of the gain and the response time of APDs. The model will be applicable to APDS with various structures and materials with special emphasis on thin APDs, which exhibit low multiplication noise and high bandwidth. The theory will specifically capture the important effect of dead space, which plays a principal role in the performance of thin APDs and significantly affects the performance of both ultrafast (intersymbol-interference limited) and lot-power (gain-fluctuation limited) applications. Significant improvements in the noise and bandwidth characteristics is to be achieved by reducing the thickness of the APD's multiplication layer, which is responsible for the device gain. To date, the fundamental limits of the statistics of the gain-bandwidth product for thin APDs, and more notably, the effect of reducing the thickness of the multiplication layer on the fluctuations in the response time remain unknown. These questions will be thoroughly addressed in this research and the fundamental limits of APD performance will be established.The second goal of this project is to utilize the developed model to design and develop next- generation high-performance APD's. Device fabrication and characterization will be carried out at the existing facilities at the Microelectronics Research Center at the University of Texas in Austin. The role played by the thickness of the avalanche multiplication layer of the device will be thoroughly investigated in an effort to design devices with application-specific optimal charac-teristics. Low-noise devices with gain-bandwidth products well beyond 500 CHz (bandwidths of 50-100 GHz) are to be developed in this program. Optimization criteria will include a) maximizing the data transmission rate subject to a fixed bit-error rate, which is applicable to intersymbol-interference-limited communication systems, and B) maximizing the receiver signal-to-noise ratio in power-limited sensing applications. As a tool in accomplishing the above objectives, a CAD tool will be designed consisting of custom-made parallel-computing algorithms intended for the high-performance implementation of the model and the optimization process.The synergy between the investigators in this project, who have a demonstrated record in opto-electronic device modeling and fabrication, can lead to the development of devices with superb per-formance characteristics. The devices developed in this program will be useful for next-generation lightwave systems operating at 40 0Hz (per channel) and beyond.
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Co-registered Vibrometry and Imaging: A Combined Synthetic-Aperture Radar and Fractional-Fourier Transform Approach [29U08UNMhaya]
  • 批准号:
    0813747
  • 项目类别:
    Standard Grant
  • 资助金额:
    $19.1万
  • 财政年份:
    2008
  • 负责人:
    Majeed Hayat
  • 依托单位:
Collaborative Research: Impact Ionization Engineered and Nanoscale Quantum-dot Based Avalanche Photodiodes for Reliable Near- to Long-wave Infrared Photon Counting
  • 批准号:
    0601645
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $20.0万
  • 财政年份:
    2006
  • 负责人:
    Majeed Hayat
  • 依托单位:
ITR Collaborative Research: Modeling and Mitigation of Communication-Delay Effects on Load Balancing in Large-Scale Distributed Systems
  • 批准号:
    0312611
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $17.87万
  • 财政年份:
    2003
  • 负责人:
    Majeed Hayat
  • 依托单位:
Optical: Collaborative Research: Bandgap Engineered Ultrafast Heterostructure Avalanche Photodiodes
  • 批准号:
    0334813
  • 项目类别:
    Standard Grant
  • 资助金额:
    $16.3万
  • 财政年份:
    2003
  • 负责人:
    Majeed Hayat
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
供应链管理中的稳健型(Robust)策略分析和稳健型优化(Robust Optimization )方法研究
  • 批准号:
    70601028
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    7.0万元
  • 批准年份:
    2006
  • 负责人:
    王明征
  • 依托单位: