【作者】 刘志立；

【导师】 李文兴；

【作者基本信息】 哈尔滨工程大学 ， 通信与信息系统， 2009， 硕士

【摘要】 在通信领域的短波和超短波波段,随着自适应快速跳频、选频等先进技术的广泛应用,迫切需要性能优良的宽带天线。使用天线宽带匹配网络,是实现天线宽频带特性的一种有效技术手段。只有当天线与设备的输入端和输出端完全匹配的情况下,才能获得最大的传输效率和良好的通信质量。研究一种有效可靠的设计天线宽带匹配网络的方法是当今的一个热点问题。本文首先介绍了国内外的一些研究现状,以及研究目的与意义。然后介绍了天线的宽带技术和天线的宽带性能指标,进而论述了天线的宽带匹配网络的作用和常见结构,对目前经常使用的各种天线匹配网络的设计方法进行了分析。然后对粒子群算法的原理,参数,数学模型等进行了介绍,接着简单分析了粒子群算法与其他进化算法的异同与优缺点,尤其是与遗传算法的异同与优缺点。接着介绍了一种改进型的粒子群算法。最后,本文将改进型的粒子群算法应用于天线匹配网络设计中,提出一种设计天线匹配网络的方法,并给出了设计实例。本文的主要工作集中于天线匹配网络设计方法的研究。通过对现有天线匹配网络设计方法优缺点的分析基础上,本文提出了设计天线宽带匹配网络的新方法。这种方法基于一种改进型粒子群算法实现,这种算法采用操作简单的速度-位移模型,在搜索过程中引入交叉因子。本文详细论述了这种方法如何应用于天线匹配网络设计的方法步骤。设计实例说明用该方法可以设计出频带宽、结构简单的天线宽带匹配网络。并且通过与基于标准粒子群算法和遗传算法的天线匹配网络设计方法进行了比较,证明了可以一定程度上跳出局部最优值的吸引,实现全局最优,设计出更好的天线匹配网络。此方法可广泛用于其他天线宽带匹配网络的设计。更多还原

【Abstract】 With adaptive frequency hopping fast, frequent elections and other advanced technologies have been widely used in the short wave and ultra short wave communication bands, there is an urgent need for high-performance broadband antennas. The use of broadband antenna matching network is an effective method which can realize the broadband characteristics. Only when the antenna and the equipment perfectly matched, we can get the maximal transmission efficiency and high communication quality. Researching an effective and reliable method of designing broadband antenna matching networks is a hot issue today.In this paper, the present research situations and the research purposes and significance is introduced firstly. And we introduce broadband antennas technology and the broadband performance Indicators, then discusses the function and common structures of broadband antenna matching network of antenna matching network. Then the principle、parameters and mathematical model of the standard particle swarm optimization algorithm are introduced, and analyze the difference and relation including advantages and disadvantages between the particle swarm optimization algorithm and other evolutionary algorithms, especially between the particle swarm algorithm and genetic algorithm.Then we introduce a modified particle swarm algorithm. Finally, the modified particle swarm optimization algorithm is applied to the design of antenna matching network, and a new design method of antenna matching network is given, as well as some design examples.The main work of this article is researching the antenna matching network. After analyzing the advantages and disadvantages of the antenna matching network design method, this paper presents a new design method of broadband antenna matching network. This method is based on a modified particle swarm optimization algorithm which adopt simple velocity-displacement model and insert the genetic hybrid gene in the search process. This article discusses the steps of this method which is applied to the antenna matching network design detailed. Design examples show that the method can be used to design the broadband matching networks which have simple structure. The compare results of the broadband matching network design methods which respectively based on genetic algorithm、standard particle swarm optimization algorithm and the modified particle swarm optimization algorithm can show that this new method can reduce the attraction of local optimization value, and has the characteristics of global optimization, can design better antenna matching network. This method also can be widely used in other antenna broadband matching networks design.更多还原