Description: mimo系统通过波束到达角、角度扩展、天线之间的间隔和天线的个数，计算出发送端或接收端的相关矩阵-mimo system through the beam arrival angle, angle expansion of the interval between the antenna and the number of antennas, calculate the transmitter or receiver of the correlation matrix Platform: |
Size: 4130 |
Author:wy |
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Description: mimo系统通过波束到达角、角度扩展、天线之间的间隔和天线的个数，计算出发送端或接收端的相关矩阵-mimo system through the beam arrival angle, angle expansion of the interval between the antenna and the number of antennas, calculate the transmitter or receiver of the correlation matrix Platform: |
Size: 4096 |
Author:wy |
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Description: 该程序实现了mimo相关信道中的发射端或接收端的相关矩阵-The implementation of the procedures related to mimo channel transmitter or receiver of the correlation matrix Platform: |
Size: 1024 |
Author:月竹 |
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Description: 输出MIMO冲激响应矩阵和发送接收端的相关系数矩阵-Output MIMO impulse response matrix and send the receiving end of the correlation coefficient matrix Platform: |
Size: 5120 |
Author:peng |
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Description: 多输入多输出(MIMO)通信系统相比其他的通信系统具有更高的频谱效率，在不增加发射功率以及信号带宽的
情况下，MIMO 技术可以有效地提高系统信道容量及其性能。利用均匀角能量分布以及相关矩阵，分析了相关信道下的MIMO
系统信道容量，得出了系统信道容量的通用公式，并利用MATLAB 进行仿真。仿真结果表明，相关性的增加意味着信噪比的减
小，圆形接收天线阵列半径与角度扩展是决定MIMO 系统信道容量的主要因素。-Multiple-input multiple output (MIMO) communication architecture, as compared with conventional
techniques, has even higher spectral efficiency, and MIMO technique could greatly improve channel capacity and
performance of the system without any increase of transmitting power and bandwidth. By uniform angular distribution
and the correlation matrix, the MIMO channel capacity in correlated channel is investigated. Numerical simulation
is performed with MATLAB, thus to verify the proposed formula. Simulation result indicates that, for this model,
the increase of correlation means the reduction of signal-to-noise ratio (SNR), and the circular receive antenna
array radius or angle spread is the dominating factor for channel capacity. Platform: |
Size: 805888 |
Author:蜡笔 |
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Description: 运用相关矩阵法，通过计算2 根天线之间的相关系数、多输入多输出(MIMO)的相关矩阵，得到MIMO 信道系数矩阵，在其中加
入智能天线(SA)的导向向量和赋形向量，得到MIMO/SA 矩阵，由此实现对MIMO/SA 多天线空时信道的建模。-Use of the correlation matrix method, the multi-input multi-output (MIMO), correlation matrix, obtained by calculating the correlation coefficient between the two antennas, the MIMO channel coefficient matrix, Smart Antenna (SA) was added in which the guide vectors and shaped vector, obtained MIMO/SA matrix, thus achieving the modeling of the space-time channel, multi-antenna MIMO/SA. Platform: |
Size: 280576 |
Author:李志 |
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Description: 运用相关矩阵法，通过计算2 根天线之间的相关系数、多输入多输出(MIMO)的相关矩阵，得到MIMO 信道系数矩阵，在其中加
入智能天线(SA)的导向向量和赋形向量，得到MIMO/SA 矩阵，由此实现对MIMO/SA 多天线空时信道的建模。-Use of the correlation matrix method, the multi-input multi-output (MIMO), correlation matrix, obtained by calculating the correlation coefficient between the two antennas, the MIMO channel coefficient matrix, Smart Antenna (SA) was added in which the guide vectors and shaped vector, obtained MIMO/SA matrix, thus achieving the modeling of the space-time channel, multi-antenna MIMO/SA. Platform: |
Size: 185344 |
Author:李志 |
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Description: 本程序实现了基于相关矩阵法的LTE及4G中MIMO多径信道的仿真，最终获得了MIMO信道的传播矩阵。（第一步，选择应用场景（确定信道参数和天线配置参数）；第二步，计算相关矩阵，并做Cholesky分解；第三步,利用Jakes模型产生多普勒随机变量；第四步,形成TDL；第五步，根据前四步准备，最终得到MIMO多径信道的信道传输矩阵）-This procedure achieved based on the correlation matrix method and 4 g LTE MIMO in multipath channel simulation, finally obtained the spread of the MIMO channel matrix. Platform: |
Size: 18432 |
Author:hulina |
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Description: 可以得到很精确的幅值、频率、相位估计，最终的权值矩阵就是滤波器的系数，MIMO OFDM matlab仿真,有均匀线阵的CRB曲线，数值分析的EULER法，利用贝叶斯原理估计混合logit模型的参数，用MATLAB实现的压缩传感，实现典型相关分析。- You can get a very accurate amplitude, frequency, phase estimation, The final weight matrix is ??the filter coefficient, MIMO OFDM matlab simulation, There ULA CRB curve, EULER numerical analysis method, Bayesian parameter estimation principle mixed logit model, Using MATLAB compressed sensing, Achieve canonical correlation analysis. Platform: |
Size: 5120 |
Author:yhemfd |
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