| 基于遗传算法的智能天线波束形成 |
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| 引用本文： | 武琳静,李京华,王景,倪宁.基于遗传算法的智能天线波束形成[J].现代电子技术,2010,33(21):18-20. |
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| 作者姓名： | 武琳静 李京华 王景 倪宁 |
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| 作者单位： | 西北工业大学电子信息学院,陕西西安710072 |
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| 摘 要： | 为降低智能天线方向图旁瓣电平,加深干扰方向零点深度,提出一种改进的实数编码遗传算法。该算法基于人类的繁殖现象,改进了标准遗传算法的交叉算子,从而克服了标准遗传算法收敛速度慢,易陷入局部最优等问题,提高了优化效率。在仿真实验中,以均匀直线阵为例,用改进的遗传算法对阵元激励的幅度进行优化,形成的方向图获得了更好的结果。
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| 关 键 词： | 智能天线 波束形成 方向图 遗传算法 人类繁殖现象 |
Beam-forming of Smart Antenna Based on Genetic Algorithm |
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| WU Lin-jing,LI Jing-hua,WANG Jing,NI Ning.Beam-forming of Smart Antenna Based on Genetic Algorithm[J].Modern Electronic Technique,2010,33(21):18-20. |
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| Authors: | WU Lin-jing LI Jing-hua WANG Jing NI Ning |
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| Affiliation: | ,NI Ning(Department of Electronic Engineering,Northwestern Polytechnical University,Xi＇an 710072,China) |
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| Abstract: | In order to reduce the side-lobe level and deep the null of smart antenna patterns,an improved real-coded genetic algorithm is proposed.The algorithm improves the crossover operator of standard genetic algorithm based on human reproduction phenomenon（HRGA）.So,the slow convergence and local optimum of standard genetic algorithm are resolved and the convergence speed is enhanced.Taking an example of uniform linear array in simulation experiment,amplitude of the element excited current is optimized through improved GA,the pattern is better. |
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| Keywords: | smart antenna beam-forming pattern genetic algorithm human reproduction phenomenon |
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