摘要
介绍了对分搜索算法、Hooke&Jeeves算法和Powell算法等基于直接搜索的MF-HF天调调谐算法,指出了其容易陷入局部最优解的问题。提出基于遗传算法的天调调谐算法,对算法的基本流程进行了介绍。结合近似计算和邻域搜索的思想,对调谐算法进行了改进,减少变量个数,缩小算法搜索空间。通过对4m鞭状天线进行调谐仿真,验证了遗传算法作为调谐算法的有效性,同时改进后的算法在调谐速度和匹配精度上获得了明显的改善。
Three tuning algorithms of MF-HF antenna tuner such as bisect searching algorithm, Hooke ＆ Jeeves algorithm and Powell algorithm are introduced, which is based on direct searching. The problem of falling into locally optimal solution easily with these algorithms is pointed out. Then the tuning algorithm of antenna tuner based on genetic algorithm is proposed and the flow of this algorithm is introduced. Considering the concept of approximate calculation and neighbor searching, the tuning algorithm based on genetic algorithm is improved, and the number of variables and the searching space are reduced. The validity of the algorithms are verified through simulation by tuning a 4m whip antenna using the algorithms and the tuning speed and matching accuracy are improved obviously by the improved algorithm.
出处
《无线电工程》
2010年第7期43-46,共4页
Radio Engineering
关键词
天线调谐器
阻抗匹配网络
遗传算法
调谐算法
antenna tuner
impedance matching network
genetic algorithm
tuning algorithm
