Ultra-High-Capacity Optical Communications and Networking: Signal Processing for High-Data-Rate Optical Communications Systems

超高容量光通信和网络:高数据速率光通信系统的信号处理

基本信息

  • 批准号:
    0123409
  • 负责人:
  • 金额:
    $ 25万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2002
  • 资助国家:
    美国
  • 起止时间:
    2002-01-01 至 2005-12-31
  • 项目状态:
    已结题

项目摘要

Proposal #0123409Adali, TulayU of Maryland-Baltimore CountyWithin the last fifteen years, the maximum data rate that a backbone communications line can handle has grown by five orders of magnitude. A key enabling technology for this impressive growth has been theadvent of commercial wavelength-division-multiplexed systems that has allowed systems designers to fill the available bandwidth far more efficiently than in the past. Recently, the physical impairmentsin the optical fiber transmission lines have become the major factors limiting the obtainable data rates. The chromatic dispersion, fiber nonlinearities, polarization effects, and amplified spontaneousemission noise from the amplifiers, all interact limiting the data rates and/or transmission distances. Polarization mode dispersion (PMD), in particular, introduces intersymbol and intercarrier interference and is the primary limitation in increasing transmission rates and distances in installed terrestrial fiber systems. Though it has been noted that signal processing approaches hold great promise for mitigating PMD and other impairments in optical communications systems, the area is still in its infancy, and the current activity in the area is limited to ``off-the-shelf'' techniques that do not take into account characteristics of the optical domain, thus unable to truly take advantage of the possibilities that signal processing offer.By bringing in expertise from two complementary research areas: signal processing for communications and optical communications, this research develops effective electrical domain (post-detection) approaches for optical communications by taking into account the physical properties of the optical transmission medium. The investigators introduce a new class of receiver structures for optical communications that exploit polarization diversity and study their performance by accurate modeling of the physical phenomena and using efficient simulation techniques that they have developed.The two research groups have expertise in both areas relevant to the proposed work: (1) theoretical and computational study and modeling of optical communication systems and (2) development of errorcompensation/mitigation techniques for communications. Their collaboration within the last couple of years has demonstrated the potential of solutions developed with this approach for significant performance gains in optical communications systems. An important additional benefit of the project is establishing meaningful communication between the two research communities and the emphasis on the importance of their full collaboration. The research also offers the potential for a more unified view of communications systems.
提案#0123409 Adali,马里兰州巴尔的摩县的TulayU在过去的十五年里,主干通信线路可以处理的最大数据速率已经增长了五个数量级。 这种令人印象深刻的增长的一个关键技术是商业波分复用系统的出现,它使系统设计者能够比过去更有效地填充可用带宽。近年来,光纤传输线路中的物理损伤已成为限制可获得的数据速率的主要因素。色散、光纤非线性、偏振效应和放大器放大的自发发射噪声都相互作用,限制了数据速率和/或传输距离。特别地,偏振模色散(PMD)引入符号间和载波间干扰,并且是在安装的地面光纤系统中增加传输速率和距离的主要限制。虽然已经注意到信号处理方法对于减轻光通信系统中的PMD和其他损伤具有很大的希望,但是该领域仍然处于起步阶段,并且该领域中的当前活动限于不考虑光域的特性的"现成“技术,因此无法真正利用信号处理提供的可能性。通过引入两个互补研究领域的专业知识:信号处理的通信和光通信,这项研究开发了有效的电域(后检测)的方法,通过考虑到光传输介质的物理特性的光通信。 研究人员介绍了一类新的光通信接收机结构,利用偏振分集,并通过对物理现象的精确建模和使用他们开发的高效仿真技术来研究其性能。这两个研究小组在与拟议工作相关的两个领域都有专业知识:(1)光通信系统的理论和计算研究与建模;(2)通信误差补偿/减轻技术的发展。 他们在过去几年中的合作已经证明了采用这种方法开发的解决方案在光通信系统中显着提高性能的潜力。 该项目的一个重要的额外好处是在两个研究界之间建立了有意义的沟通,并强调了他们充分合作的重要性。该研究还为更统一的通信系统视图提供了可能性。

项目成果

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会议论文数量(0)
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Tulay Adali其他文献

Kernelization of Tensor-Based Models for Multiway Data Analysis
用于多路数据分析的基于张量的模型的核化
  • DOI:
  • 发表时间:
    2013
  • 期刊:
  • 影响因子:
    14.9
  • 作者:
    Qibin Zhao;Guoxu Zhou;Tulay Adali;Liqing Zhang;Andrzej Cichocki
  • 通讯作者:
    Andrzej Cichocki
Linked Component Analysis From Matrices to High-Order Tensors: Applications to Biomedical Data
从矩阵到高阶张量的链接成分分析:在生物医学数据中的应用
  • DOI:
    10.1109/jproc.2015.2474704
  • 发表时间:
    2015-08
  • 期刊:
  • 影响因子:
    20.6
  • 作者:
    Yu Zhang;Tulay Adali;Shangli Xie;Andrzej Cichocki
  • 通讯作者:
    Andrzej Cichocki

Tulay Adali的其他文献

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{{ truncateString('Tulay Adali', 18)}}的其他基金

Collaborative Research:CISE-ANR:CIF:Small:Learning from Large Datasets - Application to Multi-Subject fMRI Analysis
合作研究:CISE-ANR:CIF:Small:从大数据集中学习 - 多对象 fMRI 分析的应用
  • 批准号:
    2316420
  • 财政年份:
    2023
  • 资助金额:
    $ 25万
  • 项目类别:
    Standard Grant
CIF: Small: Source Separation with an Adaptive Structure for Multi-Modal Data Fusion
CIF:小型:具有自适应结构的源分离,用于多模态数据融合
  • 批准号:
    1618551
  • 财政年份:
    2016
  • 资助金额:
    $ 25万
  • 项目类别:
    Standard Grant
CIF: Small: Collaborative Research: Entropy Rate for Source Separation and Model Selection: Applications in fMRI and EEG Analysis
CIF:小型:合作研究:源分离和模型选择的熵率:在功能磁共振成像和脑电图分析中的应用
  • 批准号:
    1117056
  • 财政年份:
    2011
  • 资助金额:
    $ 25万
  • 项目类别:
    Standard Grant
III: Small: Collaborative Research: Canonical Dependence Analysis for Multi-modal Data Fusion and Source Separation
III:小:协作研究:多模态数据融合和源分离的典型依赖分析
  • 批准号:
    1017718
  • 财政年份:
    2010
  • 资助金额:
    $ 25万
  • 项目类别:
    Standard Grant
Collaborative Research: SEI: Independent Component Analysis of Complex-Valued Brain Imaging Data
合作研究:SEI:复值脑成像数据的独立成分分析
  • 批准号:
    0612076
  • 财政年份:
    2006
  • 资助金额:
    $ 25万
  • 项目类别:
    Standard Grant
Collaborative Research: Complex-Valued Signal Processing and its Application to Analysis of Brain Imaging Data
合作研究:复值信号处理及其在脑成像数据分析中的应用
  • 批准号:
    0635129
  • 财政年份:
    2006
  • 资助金额:
    $ 25万
  • 项目类别:
    Standard Grant
CAREER: Maximum Partial Likelihood Methods for Communications
职业:通信的最大部分似然法
  • 批准号:
    9703161
  • 财政年份:
    1997
  • 资助金额:
    $ 25万
  • 项目类别:
    Standard Grant
Adaptive Signal Processing for Communications by Maximum Partial Likelihood Estimation
通过最大部分似然估计进行通信的自适应信号处理
  • 批准号:
    9614236
  • 财政年份:
    1996
  • 资助金额:
    $ 25万
  • 项目类别:
    Standard Grant

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