一种基于的遣传算法的微波测量分析方法  

Analysis Study on Microwave Measurement Based on Genetic Algorithm

作　　者：杨洲[1] 王积勤[1] 

机构地区：[1]空军工程大学导弹学院,陕西三原713800

出　　处：《测试技术学报》2005年第1期82-85,共4页Journal of Test and Measurement Technology

摘　　要：　论述了遗传算法在微波测量分析中的应用,首先简要介绍了应用遗传算法处理微波数据信号.然后在微波电路的分析设计中,设计了一种较好的遗传算法多目标优化方法对电路进行全局优化,使整个系统在电路设计等关键的衡量指标同时达到最优.文章对双波段、六单元接换阵列智能天线运用遗传算法进行优化设计,在900MHz和1900MHz两个频段上-10dB带宽分别达到和,天线辐射方向上的最大增益为,最小增益为,并且得到了天线阵列中每个变量的灵敏度分析.通过与文献的比较,结果证明遗传算法的应用可以显著的提高天线的性能.This paper mainly discusses applications of the Genetic Algorithms on microwave measurement. Firstly, the application of Genetic Algorithms on data processing of microwave is introduced. A new multi-object Optimization is used successfully in the analysis and design on microwave circuit, which could make some key indexes get optimization at the same time, a dual-waveband array consisting of six loaded monopole elements with the Genetic Algorithms was been analysed the 10 dB bandwidths are and at 900 MHz and 1 900 MHz respectively. The antenna covers the azimuth plane with a maximum gain of and a maximum gain of . The programs also analyses all variables of the sensitivity. The result has proved that the capability of antenna array can be great improved comparing with literatures.

关 键 词：测量分析 遣传算法 多目标优化方法 遗传算法 900MHz 灵敏度分析 分析设计 微波电路 数据信号 算法处理 衡量指标 电路设计 全局优化 优化设计 智能天线 辐射方向 天线阵列 应用 双波段 频段 

分 类 号：TN929.5[电子电信—通信与信息系统] TP393[电子电信—信息与通信工程]