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2下载:
天线阵的波束形成Matlab代码(圆阵)-antenna beamforming Matlab code (UCAs)
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With the interference-to-noise ratio reduced to 30 dB, plot the adaptive antenna pattern after 200 iterations of the LMS algorithm-With the interference-to-noise ratio of red uced to 30 dB. plot the adaptive antenna pattern after 200 ite rations of t
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智能天线中的波束成型算法,系统仿真程序,matlab代码,Smart Antenna beamforming algorithm, the system simulation program, matlab code
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TD系统中智能天线下行波束赋形LCMV算法仿真实现算法-Smart Antenna Downlink Beamforming LCMV algorithm
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智能天线自适应波束形成算法(LMS,RLS,MVDR1,MVDR2)-Adaptive beamforming smart antenna algorithm (LMS, RLS, MVDR1, MVDR2)
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antenna beamforming
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移动通信中的智能天线系统源代码,波束面向用户,使用空间滤波和波束零陷技术.-Mobile communications in the smart antenna system source code, user-oriented beam, the use of spatial filtering and beamforming technology Null.
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implement basic routines in Matlab and Octave (currently using Matlab R13) for simulating adaptive beamforming and filtering for antenna arrays.
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antenna beamforming using RBF
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It s about smart antenna. It can help you whatever it is.
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Antenna beamforming using parallel Matlab environment
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LMS算法和RLS算法的智能天线波束形成~~,可以运行-LMS algorithm and RLS algorithm for smart antenna beamforming ~ ~, you can run ~ ~ ~
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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, suit
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数字波束形成算法库。仿真了智能天线中比较常见的几种波束形成算法,并使用了GUI界面。-Digital beamforming algorithms library. Comparison of simulation of the smart antenna beamforming algorithm several common, and use the GUI interface.
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多种智能天线经典波束形成算法,具有良好的方向图。-samrt antenna beamforming ,good performance
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相控阵列天线方向图的matlab实现,来自学报-Phased array antenna pattern matlab realize, from University
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基于LMS算法的智能天线波束形成研究及实现
-Research and implementation of smart antenna beamforming based on LMS algorithm
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power point of antenna beam forming
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给出了一种基于大规模天线混合波束成型算法的仿真实现(hybrid beamforming for large-scale MIMO system)
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This is an algorithm for the direction finding in smart antenna. The algorithm is based on Capon's beamforming. Here two sources can be placed with degrees that the user will give. The noise is taken to be AWGN. The psudo-spectrum will be plotted aga
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