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由于矿井下无线电波存在大量的反射、折射、散射波,导致严重的多径。如此之多的干扰信号容易导致近亲繁殖等现象,更重要的是几乎不可能使天线方向图的干扰方向都形成零陷。针对这些问题,提出GA-I算法使遗传算法能运用于矿井下的阵列天线,主要通过在交叉过程中判断个体相似度来改进近亲繁殖现象和通过改进适应度函数来解决了因为信号干扰数大于天线阵列数的情况而使干扰方向形成了零陷。MATLAB仿真表明了此算法的有效性,形成的波束图获得了很好的结果。
Due to the mine there is a lot of radio waves reflection, refraction, scattered waves, leading to serious multi-path. So many interfering signals can easily lead to inbreeding and so on. More importantly, it is almost impossible to make the antenna patterns distract in the same direction. To solve these problems, GA-I algorithm is proposed to make GA applied to underground array antennas. It mainly improves the inbreeding by judging individual similarity during the crossover and improves the fitness function to solve the problem. Because the number of signal interference is more than The number of antenna arrays in the direction of interference caused by the formation of a nudge. MATLAB simulation shows the effectiveness of this algorithm, and the beam pattern obtained has achieved good results.