Description: 用matlab开发的遗传算法来综合实现天线阵方向图的波束赋形-Matlab developed using genetic algorithm to realize an integrated pattern of antenna array beamforming Platform: |
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Author:王建 |
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Description: 遗传算法在非线性数值优化方面有着很强的生命力 ,适于波束赋形阵列天线的综合。Matlab 具有很强的数值计算能力和数据图视功能 ,经过二十多年的发展 ,逐渐成为工程师们进行数值优化的首选计算机语言。以一部具有余割平 方波束的雷达搜索天线阵为例 ,采用遗传算法对其馈电相位进行优化 ,优化结果与目标吻合。同时给出其主要节点的 Matlab程序。-Nonlinear numerical optimization genetic algorithm has a strong vitality, suitable for antenna array beamforming integrated. Matlab has a strong numerical ability and visual function data plan, after 20 years of development, engineers have become the preferred numerical optimization computer language. To a beam with cosecant square antenna array radar search, for example, the genetic algorithm to optimize their feed phase to optimize the results coincide with the target. The main nodes are given Matlab program. Platform: |
Size: 330752 |
Author:victor728 |
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Description: 运用遗传算法对不等幅不等距矩型平面阵列的最大相对旁瓣电平进行了优化 ,
通过提出新的 自适应
变异算子改进了算法的收敛性能 ,
良好的计算结果表明遗传算法是 目前求解此类问题的有效方法-Genetic algorithms applied to unequal amplitude equidistant rectangular planar array, the maximum relative sidelobe level is optimized by presenting a new adaptive mutation operator to improve the convergence of the algorithm performance, the calculation results show that the genetic algorithm is effective method for solving such problems Platform: |
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Author:侯杰 |
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Description: 由于圆形阵列所具有的特性，使其正得到日益广泛的应用，但是圆阵方向图却具有
相对主瓣较高的旁瓣电平。为此，本文针对均匀圆形阵列的天线单元，应用遗传算法,分别
进行唯相位、唯幅度、相位-幅度的方向图综合方法，进行旁瓣电平的优化。仿真结果表明：
这些方法可有效地降低圆阵的旁瓣电平，为解决此类问题提供了有益的参考。 -Circular array of features, are being increasingly widely used, but the circular array pattern with the relative main lobe higher sidelobe level. This uniform circular array antenna unit, the application of genetic algorithms, respectively, the only phase, only the amplitude, phase- the magnitude of pattern synthesis method, the sidelobe level optimization. The simulation results show that: these methods can effectively reduce the circular array sidelobe level to solve such problems provide a useful reference. Platform: |
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Author:侯杰 |
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Description: 基于对标准遗传算法中收敛依赖于初始群体选择的困难所作的分析,提出交替使用两种遗传繁殖操作
产生后代群体以摆脱收敛对初始群体选择的依赖. 对于超低副瓣线阵天线的方向图综合问题,建立了改进的遗传算法
优化模型.计算实例说明改进后的遗传算法其收敛不依赖于初始群体的选择,具有实际应用前景.
-Difficulties by the analysis of convergence depends on the initial group selected based on the standard genetic algorithm, the proposed alternate use of two genetic breeding operations produce offspring groups to get rid of the dependence of convergence on the initial population choice for ultra-low sidelobe linear array antenna pattern, the establishment of a genetic algorithm optimization model calculation examples of the improved genetic algorithm convergence does not depend on the choice of the initial population, with a practical prospect Platform: |
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Author:侯杰 |
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Description: 基于差分进化算法和遗传算法的混合优化算法及其在阵列天线方向图综合中的应用-Based on differential evolution algorithm and genetic algorithm hybrid optimization algorithm and its application in the array antenna pattern synthesis of Platform: |
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Author:黑豆 |
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Description: 采用遗传算法实现天线阵波束形成，算法实现方便，便于操作。-The genetic algorithm is used to realize the antenna array beamforming algorithm, convenient, easy to operate. Platform: |
Size: 2048 |
Author:乔成林 |
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Description: 提出了整数编码，动态调整交叉概率、变异概率，并将适应度函数设为最大相对旁瓣电平,一种改进遗传算法的优化方法来实现直线稀疏阵列的设计-Proposed integer coding, dynamic adjustment of crossover probability, mutation probability, and the fitness function is set to the maximum relative sidelobe level, an improved genetic algorithm optimization method to achieve linear sparse array design Platform: |
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Author:尚兴荣 |
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Description: 用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述,用MATLAB编写的遗传算法路径规划，相控阵天线的方向图（切比雪夫加权）。- Monte Carlo simulation method of calculating the American option price and basic description, Genetic algorithms using MATLAB path planning, Phased array antenna pattern (Chebyshev weights). Platform: |
Size: 6144 |
Author:杨智强 |
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Description: 使用matlab进行利用遗传算法对天线阵列进行优化。-Using matlab and genetic algorithm to optimize the antenna array. Platform: |
Size: 7168 |
Author:It s me |
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Description: 遗传算法等智能算法只需要利用目标取值作为搜索信息无需目标函数梯度等高阶信息，适于并行处理等优点，尤其适用于处理传统搜索方法难于处理的非线性问题，因此，被许多学者引入并应用到阵列天线波束赋形领域.(Intelligent algorithms, such as genetic algorithm, only need to use the target value as the high order information of the search information without the objective function gradient and so on. It is suitable for parallel processing and other advantages. It is especially suitable for dealing with the nonlinear problem that the traditional search method is difficult to deal with. Therefore, many scholars have been introduced and applied to the array antenna beamforming field by many scholars.) Platform: |
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Author:ronnykop |
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Description: 阵列信号处理，采用遗传算法对阵列进行稀疏化处理，对于研究阵列天线的学者有帮助(Array signal processing and sparse processing with genetic algorithm are helpful to scholars who study array antenna.) Platform: |
Size: 4096 |
Author:allen147 |
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Search - array antenna genetic