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基于遗传算法的车载天线优化布局
Optimal Layout of Vehicle Mounted Antennas Based on Genetic Algorithm
【摘要】 为进一步提高列车车载天线系统的电磁兼容性,使用遗传算法对天线的位置坐标进行变换编码,通过选择、交叉和变异的迭代过程寻找使车顶面天线系统耦合度最优的天线位置坐标。将优化的天线系统耦合度与原车耦合度仿真对比,结果显示使用遗传算法布局比人为经验性的操作更具优越性。
【Abstract】 In order to further improve the electromagnetic compatibility of train antennas system,genetic algo-rithm is used to transform and code the position coordinates of the antennas,and the antennas position coor-dinates for the optimal coupling degree of train roof antennas system are found through the iterative process of selection,crossover and variation.The optimized coupling degree of antennas system is compared with the simulation of practical train coupling degree,and the results show that genetic algorithm is superior to artificial experiential operation in layout.
【关键词】 遗传算法;
天线布局;
耦合度;
电磁兼容性;
【Key words】 genetic algorithm; antenna layout; coupling degree; electromagnetic compatibility;
【Key words】 genetic algorithm; antenna layout; coupling degree; electromagnetic compatibility;
【基金】 纵向课题(Y201636375):浙江省教育厅一般科研项目
- 【文献出处】 电子质量 ,Electronics Quality , 编辑部邮箱 ,2019年08期
- 【分类号】TP18;U270.38
- 【被引频次】1
- 【下载频次】111