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

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.