多层宽带微带贴片天线的优化设计

【作者】 丁让箭；

【导师】 张玉梅；

【作者基本信息】 安徽大学 ， 电磁场与微波技术， 2004， 硕士

【摘要】 由于微带贴片天线特有的优点(剖面低、重量轻、易制作和容易做到与飞行器共形等)，在实际当中得到了广泛的应用。但是随着不同用途需求对天线性能的要求越来越高，普通的微带贴片天线因自身的限制(如频带窄等)，很难满足工程需求。在这种情况下宽频带微带贴片天线越来越受到重视，然而宽频带微带贴片天线的设计较普通微带贴片天线的设计难度大，设计成本高，这就给实际工程设计带来了现实问题：如何在保证精度的前提下缩短设计周期，降低研制成本。对此，本文主要研究了微带贴片天线的优化设计，其中数值计算部分采用时域有限差分方法、优化部分采用人工神经网络模型结合遗传算法来完成。 论文介绍了时域有限差分方法、人工神经网络模型和遗传算法的基本原理，开发了相应的计算程序。在讨论了各种方法之后都用相应的实例来说明该方法解决问题的有效性，同时验证了所开发程序的正确性。文中将上述三种方法结合起来用于解决微带贴片天线的实际工程问题，优化设计了两个微带贴片天线，包括一个单层微带天线和一个双极化多层宽带微带天线，并将计算结果与实际测量数据相比较，二者吻合良好，从而表明该设计方法取得了较好的结果。 本文的工作，为微带天线的工程优化设计提供了一种有效途径，在实现缩短设计周期，降低研制成本方面作了有价值的实践。更多还原

【Abstract】 Microstrip patch antenna has been wildly used because of its own advantages, such as: low profile, light weight, easy fabrication, conformability to mounting hosts. But, with the increased demands of antenna quality for different purposes, owing to its limits, such as: narrow bandwidth, common microstrip patch antenna is hard to meet the requirements of engineering. So, broad-band microstrip patch antenna received more and more attentions, but it has more difficulty than common microstrip patch antenna in engineering design. This inevitably create a problem: how to ensure the precision and reduce the design cost.Basic principles of finite-difference time-domain method, artificial neural network model and genetic algorithm were introduced in this paper, and computer programs were developed. Three methods have been combined to solve the engineering problem of microstrip patch antenna. This approach was validated by the results of experiment.Effective approach of engineering optimized design of microstrip patch antenna, and useful practices of reducing the design cost were provided.更多还原