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Effective Design of Multiplexing Networks for Applications in Communications Satellites.

机译:用于通信卫星的多路复用网络的有效设计。

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摘要

Microwave multiplexing networks are widely used in satellite communication systems. Their performances, such as the insertion loss and rejection between channels, are extremely critical. This research aims at effective design of multiplexing networks for applications in communication satellites exploring different design methodologies.;First, the enhanced type of multiplexer has been proven to be able to significantly improve its performances by forming an extra pole in the pass-band of each channel using the existing manifold. For completeness of the design methodology, the design of the enhanced type of multiplexers with H-plane T-junctions is investigated in this thesis. Design equations are given. By changing the distance between the channel filters and the distance between manifold waveguide and channel filter, the resonances and the magnitude of coupling can be readily controlled to satisfy the design requirement. Examples are used to demonstrate the feasibility and effectiveness of the new design using H-plane T-junctions.;Secondly, Artificial Neural Network (ANN) is applied in the spurious mode compensation in the multiplexer design. Channel filter tuning, circuit model simplification, and neural network training processes are detailed in the thesis. Space- Mapping optimization technology has been applied in the tuning of a channel filter. The artificial neural network is applied as the method to compensate disadvantages of both electromagnetic (EM) simulation, which is accurate but extremely time consuming, and circuit model, which is fast but with limited accuracy. The neural network model of a simplified circuit can rapidly and accurately simulate the spurious mode of a channel filter in its out-of-band. Design examples are used to demonstrate the modeling steps. Good agreements are observed between EM simulation and the results from the developed model.
机译:微波多路复用网络广泛用于卫星通信系统中。它们的性能(例如通道之间的插入损耗和抑制)非常关键。这项研究旨在探索通信卫星应用中有效的多路复用网络设计,探索不同的设计方法。首先,事实证明,增强型多路复用器能够通过在每个通带中形成额外的极点来显着提高其性能。通道使用现有的歧管。为了使设计方法完整,本文研究了具有H面T形结的增强型多路复用器的设计。给出了设计方程。通过改变通道滤波器之间的距离以及歧管波导与通道滤波器之间的距离,可以容易地控制谐振和耦合幅度以满足设计要求。算例说明了采用H平面T型结的新设计的可行性和有效性。其次,在多路复用器设计中将人工神经网络(ANN)用于杂散模式补偿。本文详细介绍了通道滤波器的调整,电路模型的简化以及神经网络的训练过程。空间映射优化技术已应用于信道滤波器的调谐。人工神经网络被用作补偿电磁(EM)仿真(其精确但非常耗时)和电路模型(其快速但具有有限的精度)两者的缺点的方法。简化电路的神经网络模型可以快速,准确地模拟信道滤波器在其带外的杂散模式。设计示例用于演示建模步骤。 EM仿真与已开发模型的结果之间观察到良好的一致性。

著录项

  • 作者

    Li, Shu Qi.;

  • 作者单位

    University of Ontario Institute of Technology (Canada).;

  • 授予单位 University of Ontario Institute of Technology (Canada).;
  • 学科 Engineering Aerospace.;Engineering Electronics and Electrical.
  • 学位 M.A.Sc.
  • 年度 2011
  • 页码 109 p.
  • 总页数 109
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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