改进的遗传算法在矿井阵列天线中的应用  

Improved Genetic Algorithm for Mine Array Antennas

作　　者：孟小嵩[1] 刘卫东[1,2] 张净[1] 

机构地区：[1]中国矿业大学信息与电气工程学院,江苏徐州221008 [2]兖州煤业股份有限公司兴隆庄煤矿,山东兖州272102

出　　处：《煤矿机械》2013年第3期218-220,共3页Coal Mine Machinery

基　　金：中央高校基本科研业务费专项资金(JGC101674)

摘　　要：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。There exist much reflection, refraction and scattered waves among radio waves under mines, which leads to severe muhipath problems. Such many interference signals can easily cause close breeding of genetic algorithm, and more importantly, it＇s impossible to make the interference direction of antenna＇s radiation pattern become nulls. To solve these problems, this paper proposes the GA-I algorithm／ which improve the phenomenon of inbreeding through determine the individual similarity in the process of cross-process and make the single interference direction of antenna＇s radiation pattern become nulls where the signal interference is greater than the number of antenna array under mines. The result shows the effectiveness of the proposed algorithm by MATLAB simulation, and the formation of beam has a better result.

关 键 词：煤矿井下 阵列天线 遗传算法 GA—I 

分 类 号：TN820[电子电信—信息与通信工程]