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    A Comparison and Outline of Tolerances in Performing Optical Time Division Multiplexing using Electro-Absorption Modulators

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    Owsiak_Mark_J_201005_MASC.pdf (4.243Mb)
    Date
    2010-05-18
    Author
    Owsiak, Mark
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    Abstract
    As high bandwidth applications continue to emerge, investigation in technologies that

    will increase transmission capacity become necessary. Of these technologies, Optical

    Time Division Multiplexing (OTDM) has been presented as a possible solution, supporting

    a next generation bit rate of 160 Gbit/s. To perform the demultiplexing task,

    the use of tandem electro-absorption modulators (EAMs) has been widely studied,

    and due to its benefits was chosen as the topology of this thesis.

    To create an effective model of an OTDM system, the vector based mathematical

    simulation tool MatLab is used. Care was taken to create an accurate representation

    of an OTDM system, including: the development of a realistic pulse shape, the

    development of a true pseudo-random bit sequence in all transmitted channels, the

    optimization of the gating function, and the representation of system penalty.

    While posing impressive bit rates, various sources of system performance degradation

    pose issues in an OTDM system, owning to its ultra-narrow pulse widths.

    The presence of dispersion, timing jitter, polarization mode dispersion, and nonlinear

    effects, can sufficiently degrade the quality of the received data. This thesis gives a clear guideline to the tolerance an OTDM system exhibits to each of the aforementioned sources of system penalty. The theory behind each impairment is thoroughly discussed and simulated using MatLab. From the simulated results, a finite degree of sensitivity to each source of system penalty is realized. These contributions are of particular importance when attempting to implement an OTDM system in either the laboratory, or the field.
    URI for this record
    http://hdl.handle.net/1974/5679
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    • Queen's Graduate Theses and Dissertations
    • Department of Electrical and Computer Engineering Graduate Theses
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