Description: 粒子群优化算法用于天线阵列方向图综合，自己编写的源代码，使用标准粒子群优化算法-Particle swarm optimization algorithm for antenna array pattern synthesis, I have written the source code, using the standard particle swarm optimization algorithm Platform: |
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Author:许留山 |
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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: 本程序是基于粒子群优化算法（PSO）的环形阵列天线方向图的仿真程序-This procedure is based on the ring particle swarm optimization Antenna Array Simulation Program Platform: |
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Author:张建安 |
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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: |
Size: 310272 |
Author:侯杰 |
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Description: 本文给出了一种利用幅相加权对阵列天线进行全局优化的方法。为了使天线的辐射波束形成给定的
方向图，采用联合应用DFP和BFGS公式的变度量算法对阵列天线各单元的馈电幅度和相位分布进行优化，
通过C++语言编程计算实现，从而使得优化后的阵列天线主波束形状能够与预给波束形状相吻合，达到设计
要求。全局优化是本文的特色，它弥补了局部优化结果的精确度依赖于初始值的缺点，因而得以保证通过优
化得到的天线主波束与给定波束的主瓣相吻合，副瓣也得到有效控制。该方法具有快速收敛，计算量小等优
点，是一种解决阵列天线波束赋形问题的有效方法。 -In this paper, the amplitude and phase weighted array antennas for global optimization method. Order to make the antenna radiation beam to form a given pattern, using the combination of DFP and BFGS formula variable metric algorithm to optimize the amplitude and phase distribution of each cell of the array antenna feed, calculated through C++ language programming to achieve, which makes optimization array antenna main beam shape is consistent with the pre-to the beam shape to meet the design requirements. Global optimization is a feature of this article, it makes up for the shortcomings of the accuracy of the local optimization results depend on the initial value, and thus can be guaranteed through the optimization of the antenna main beam to coincide with the main lobe of a given beam, sidelobes also been effectively controlled . The method has fast convergence of computing and small volume, is a solution to the array antenna beamforming. Platform: |
Size: 1050624 |
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: 3D MIMO下的性能优化需要天线数讨论，给出各种天线阵的性能比较-3D MIMO performance optimization requires the number of antennas discussion, give the performance of various antenna array Platform: |
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Author:蓝波 |
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Description: 利用蚁群优化算法来优化阵列天线的阵源个数，达到优化天线性能的目的。-Ant colony optimization algorithm to optimize the array antenna array number of sources, to achieve the purpose of optimizing the performance of the antenna. Platform: |
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Author:康健 |
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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: Linear Antenna arrays provide alternative solution
to dimensional structure of Antennas such as paraboloidal
cylinders, paraboloids, offset focus paraboloids etc. This paper
presents the survey of various evolutionary approaches for linear
array optimization like genetic algorithm, Particle swarm
optimization, Simulated Annealing, Bacteria Foraging and
Biogeography Based Optimization. From the survey It was
observed that biogeography based optimization is better for
antenna geometries. Platform: |
Size: 1024 |
Author:wael |
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Description: hkvnm Linear Antenna arrays provide alternative solution
to dimensional structure of Antennas such as paraboloidal
cylinders, paraboloids, offset focus paraboloids etc. This paper
presents the survey of various evolutionary approaches for linear
array optimization like genetic algorithm, Particle swarm
optimization, Simulated Annealing, Bacteria Foraging and
Biogeography Based Optimization. From the survey It was
observed that biogeography based optimization is better for
antenna geometries.-hkvnm Linear Antenna arrays provide alternative solution
to dimensional structure of Antennas such as paraboloidal
cylinders, paraboloids, offset focus paraboloids etc. This paper
presents the survey of various evolutionary approaches for linear
array optimization like genetic algorithm, Particle swarm
optimization, Simulated Annealing, Bacteria Foraging and
Biogeography Based Optimization. From the survey It was
observed that biogeography based optimization is better for
antenna geometries. Platform: |
Size: 3072 |
Author:wael |
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Description: 利用粒子群算法综合微带天线阵列方向图，可以自适应调节副瓣电平和波瓣宽度。(By using particle swarm optimization (PSO) to synthesize the pattern of microstrip antenna array, the sidelobe level and lobe width can be adjusted adaptively.) Platform: |
Size: 430080 |
Author:soyer |
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Search - Antenna array optimization