摘要作为通信系统中举足轻重的重要无源器件，滤波器一直以来都是通信系统设计问题中的关键，如何设计出满足人们需求的滤波器成为越来越多专家所致力的热门课题。
遗传算法是由密歇根大学的J.Holland教授于1975年首先提出的一种优化算法，它提供了一种求解复杂系统优化问题的通用框架，不受问题的领域和种类的限制，具有很强的鲁棒性。正是由于它的这些特点，已被广泛应用于不同的学科。61124
本文提出了一种基于改进遗传算法的微带带通滤波器自动设计方法，根据滤波器的性能指标，在不预先确定滤波器结构的情况下获得最优解。该方法自动化程度高，便于实施，大大缩短了微带带通滤波器的建模和设计的周期，同时提高了带通滤波器的设计精度，解决了经典滤波器设计方法所不能解决的一系列问题，具有很强的的理论意义和工程价值。
毕业论文关键词：无源器件 滤波器 超宽带技术 遗传算法 系统优化 微带电路
毕业设计说明书（论文）外文摘要
Title Design of a microstrip UWB Band-pass Filter Using Genetic Algorithm Techniques
Abstract As the pivotal passive components in the communication,the filter has been the key problem in the communication system design issues..More and more experts are committed to the subject of how to design a filter to meet people's needs.
The genetic algorithm is an optimization algorithm, first proposed in 1975 by professor J.Holland from the University of Michigan .GA provides a common framework for solving complex optimization problems.It has a strong robustness. Because of these features,it has been widely used in different disciplines.
In this paper, a microstrip bandpass filter design method based on improved genetic algorithm has been shown off. In the case of not pre-determined filter structure,optimizing the bandpass filter topology and the electrical parameters based on improved genetic algorithm according to the filter performance indicators.This method has a high degree of automation, ease of implementation.It has solved the problems that classic filter design method can not work out with a strong theoretical significance and value of the works.
Keywords:passive devices filter,ultra-wideband technology, genetic algorithm,system optimization, microstrip circuit
1 绪论 1
1.1 超宽带技术 1
1.2 遗传算法技术 2
2 遗传算法 4
2.1 GA基本概念 4
2.2 遗传算法的基本思想和结构 4
2.3 遗传算法的构成要素 6
2.4 遗传算法的特点 10
2.5 遗传算法的应用 11
3 传统超宽带带通滤波器的设计方法 12
3.1 基于微带结构的超宽带滤波器设计 13
3.2 基于双面平行带线结构的超宽带滤波器设计 19
3.3 基于混合微带/共面波导的超宽带滤波器设计 20
3.4 基于液晶聚合物以及低温共烧陶瓷技术的超宽带滤波器设计 22
4 超宽带带通滤波器的建模与设计 基于遗传算法的超宽带滤波器的设计:http://www.751com.cn/tongxin/lunwen_66735.html