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Systematic design of multiple antenna systems using characteristic modes.

机译:使用特征模式的多天线系统的系统设计。

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摘要

Complex multiple antenna systems are emerging today as market pressures to improve link capacity and reliability on complex integrated platforms. Complexity is therefore inherent in both the analysis and design of such systems. Modal analysis of various types has been used in a variety of fields to manage this inherent complexity. For single antenna systems, the Theory of Characteristic Modes (CM) has been used to great success in designing single antennas. In this dissertation, four interconnected topics are discussed, which are crucial to the proper extension of Characteristic Modes to complex antenna systems, especially multiple antenna systems.;First, existing characteristic mode systems are reviewed and their common properties examined. A software architecture is then discussed which enables the computation of characteristic modes in general, requiring only that the particular system definition satisfies those common properties. The software is used to perform all computations, analyses, and designs in this dissertation.;Second, a general, high-performance, wideband mode tracking system is proposed. It is shown to be efficient and robust through several challenging examples. It is the first robust tracker proposed in connection with Characteristic Modes.;Third, a procedure is proposed to compute the number, location, and even voltages of ports on a given antenna or antennas using a CM description of the problem. Its mathematical construction is inspired by results from the emerging field of Compressed Sensing. Its generality is demonstrated through a number of simulated designs.;Lastly, two new modal systems related to CM are proposed. One modal system, Subsystem Classical Characteristic Modes, produces modes which successively optimize the ratio of stored power to radiated power for an antenna embedded in a multistructure system. The other modal system, Target Coupling Characteristic Modes, produces modes which successively optimize the ratio of induced current intensity on a target structure to the current intensity on a source antenna. The modal systems are related through a projection matrix, which demonstrates the tradeoff between mutual coupling and radiation properties for a given multiple antenna system. The two modal systems are applied to several examples to validate their properties. Then, they are used in a new design procedure to systematically reduce the mutual coupling between two parallel dipoles. It is found that through loading an intermediate structure suggested by the proposed modal systems, the mutual coupling may be reduced, also predicted by the modal coupling analysis. The resulting designs generally improve upon designs available in the literature.;The dissertation concludes with a summary and discussion of future work. The appendices discusses various definitions, including a novel derivation of Classical Characteristic Modes from the starting point of orthogonal eigenpatterns.
机译:如今,随着市场压力要求提高复杂的集成平台上的链路容量和可靠性,复杂的多天线系统正在兴起。因此,复杂性是此类系统的分析和设计所固有的。在各种领域中已使用各种类型的模态分析来管理这种固有的复杂性。对于单天线系统,特征模式理论(CM)在设计单天线方面已获得巨大成功。本文讨论了四个相互关联的主题,这对将特征模式正确扩展到复杂的天线系统,尤其是多天线系统至关重要。首先,对现有的特征模式系统进行了综述,并研究了它们的共同特性。然后讨论一种软件体系结构,该体系结构通常可以计算特征模式,只需要特定的系统定义满足那些共同的特性即可。本文利用该软件进行所有的计算,分析和设计。其次,提出了一种通用的高性能宽带模式跟踪系统。通过几个具有挑战性的示例,它被证明是有效而强大的。这是结合特征模式提出的第一个鲁棒跟踪器。第三,提出了使用问题的CM描述来计算给定天线上端口的数量,位置,甚至电压的过程。其数学构造的灵感来自于新兴的压缩传感领域。通过大量的仿真设计证明了其通用性。最后,提出了两种与CM相关的新型模态系统。一种模态系统,子系统经典特征模式,产生的模式可以连续地优化嵌入在多结构系统中的天线的存储功率与辐射功率之比。另一个模态系统,目标耦合特征模式,产生的模式可以连续优化目标结构上感应电流强度与源天线上电流强度之比。模态系统通过投影矩阵进行关联,该投影矩阵说明了给定多天线系统在互耦合和辐射特性之间的权衡。将两个模态系统应用于几个示例,以验证其性能。然后,将它们用于新的设计程序中,以系统地减小两个平行偶极子之间的相互耦合。发现通过加载所提出的模态系统建议的中间结构,可以减少相互耦合,这也可以通过模态耦合分析来预测。最终的设计通常会改进文献中提供的设计。本论文以对未来工作的总结和讨论作为结尾。附录讨论了各种定义,包括从正交特征模式的起点对经典特征模式的新颖推导。

著录项

  • 作者

    Raines, Bryan Dennis.;

  • 作者单位

    The Ohio State University.;

  • 授予单位 The Ohio State University.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 199 p.
  • 总页数 199
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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