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Development of automobile antenna design and optimization for FM/GPS/SDARS applications.

机译：开发用于FM / GPS / SDARS应用的汽车天线设计和优化。

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摘要

The use of antennas for vehicle applications is growing very rapidly due to the development of modern wireless communication technology and service. The need for a computational tool to design and optimize new automobile antennas more simply and easily has been increasing.; Currently, an automobile antenna design using the Simple Genetic Algorithm (SGA) has been introduced. In this model, the SGA computation tool attempts to obtain the best design based on a single cost function. The automobile antenna design is a multi-objective problem. The different objectives are combined into a single cost function, each with a weight value. The results of the optimization procedure depend strongly on these weights, and thus, the designer must properly choose each weight value to get the desired optimum. Also, all the weight values must then be changed, and the entire optimization procedure must be repeated whenever the designer wants to change any single objective goal. In addition, a single optimum solution obtained by the SGA can be unrealizable due to various limitations. Present SGA research has focused on antennas with limited geometric flexibility, such as simple wire antenna geometry.; This dissertation presents the development and application of the Nondominated Sorting Genetic Algorithm (NSGA) to design new automobile conformal antennas. The NSGA can find a set of Pareto-optimal solutions, instead of finding a single optimal solution. In multi-objective optimization problems, one may not find a single best solution. There may be many solutions, which are considered better with respect to all objectives. The Pareto-optimum solutions are a set of compromise solutions based on a comparison with each objective. The NSGA searches the Pareto-optimal solutions by using a fitness assignment process and a sharing process. The use of a sharing process ensures diversity of the solution space.; A set of Pareto-Optimum automobile conformal antenna geometries for FM radio and GPS/SDARS systems using the NSGA is produced. The design requirements for automobile antennas are combined into multiple objective goals, such as simplicity of the antenna geometry, gain pattern, VSWR and polarizations. The NSGA generates a set of feasible antenna geometries satisfying desirable goals. The antenna designer can choose realizable and simpler antenna geometries from among the set of Pareto-optimum solutions. The electromagnetic numerical tool used for the analysis in this research is the Method of Moments (MoM).; The automated and integrated computational code has been developed for automobile antenna design by combining of the NSGA process which is programmed in MATLAB and the ESP5 theoretical tool which is based on the MoM. The results of this computational code to design and optimize automobile antennas for FM/GPS/SDARS are provided as well as the comparisons results with experimental measurements.
机译：由于现代无线通信技术和服务的发展，用于车辆应用的天线的使用正在迅速增长。越来越需要一种计算工具来更简单，更轻松地设计和优化新的汽车天线。当前，已经引入了使用简单遗传算法（SGA）的汽车天线设计。在此模型中，SGA计算工具尝试基于单个成本函数获得最佳设计。汽车天线的设计是一个多目标的问题。不同的目标组合成一个成本函数，每个成本函数都有一个权重值。优化过程的结果在很大程度上取决于这些权重，因此，设计人员必须正确选择每个权重值才能获得所需的最优值。另外，所有权重值都必须更改，并且无论何时设计人员要更改任何单个目标，都必须重复整个优化过程。另外，由于各种限制，由SGA获得的单个最佳解决方案可能无法实现。当前的SGA研究集中在几何灵活性有限的天线上，例如简单的有线天线几何。本文介绍了非支配排序遗传算法（NSGA）在设计新型汽车保形天线方面的发展和应用。 NSGA可以找到一组帕累托最优解，而不是找到一个最优解。在多目标优化问题中，可能找不到一个最佳解决方案。可能有许多解决方案，相对于所有目标，这些解决方案被认为更好。帕累托最优解决方案是基于与每个目标进行比较的一组折衷解决方案。 NSGA通过适应性分配过程和共享过程搜索Pareto最优解。共享过程的使用确保了解决方案空间的多样性。生产了一套使用NSGA的FM无线电和GPS / SDARS系统的帕累托最优汽车保形天线几何形状。汽车天线的设计要求被组合到多个目标中，例如天线几何的简单性，增益模式，VSWR和极化。 NSGA生成了一组满足期望目标的可行天线几何形状。天线设计人员可以从一组帕累托最优解决方案中选择可实现且更简单的天线几何形状。本研究中用于分析的电磁数值工具是矩量法（MoM）。通过将在MATLAB中编程的NSGA过程和基于MoM的ESP5理论工具相结合，已开发出用于汽车天线设计的自动集成计算代码。提供了用于设计和优化FM / GPS / SDARS汽车天线的该计算代码的结果，以及与实验测量结果进行比较的结果。

著录项

  • 作者

    Kim, Yongjin.;

  • 作者单位

    The Ohio State University.;

  • 授予单位 The Ohio State University.;
  • 学科 Engineering Electronics and Electrical.; Engineering Automotive.
  • 学位 Ph.D.
  • 年度 2003
  • 页码 176 p.
  • 总页数 176
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;自动化技术及设备;
  • 关键词

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