【MATLAB】这学期数字通信的课设-SISO与MIMO系统容量的比较仿真
2021-03-19 09:03:18 1KB MATLAB 系统容量
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MIMO多输入多输出系统,2发2收,通过瑞利信道,使用ML最大似然检测法,得出误码率曲线,绝对可以运行
2021-03-11 14:47:17 2KB MIMO ML 误码率 matlab
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日趋重要的高速移动工具,如高速铁路、无人驾驶飞机等,大多都处在开阔地带。由于视距传播的存在,瑞利衰落模型已经不能很好地描述该环境下的信道情况,而莱斯衰落信道模型由视距分量和多径分量组成,更能准确地表述上述信道变化。基于此模型,在大规模天线系统下,在已存在的基于叠加训练序列信道估计方法的基础上,提出了改进的信道估计方法和对应的解码方法。改进后的信道估计方法分为直射分量已知和未知两种情况,分别推导了相应的信道估计公式和解码方法。数值仿真结果验证了本文所提方案性能的优越性。
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本文着重于针对多用户多输入多输出(MU-MIMO)下行链路传输的最大比率传输(MRT)预编码的设计。 由于通过奇异值分解(SVD)构造的发射机预编码矩阵被连续计算两次,因此在MUMIMO系统上进行退出块对角化(BD)预编码研究具有很高的复杂度。 MRT方案构造分别针对每个接收天线的预编码矢量,因此每个天线的信号都是独立的。 与MRT预编码和最大比合并相比,与BD预编码相比,可以获得更多的空间分集增益。仿真表明,在各种MU-MIMO系统中,与传统的BD预编码相比,该算法具有更大的增益。
2021-03-06 20:05:46 1.03MB MU-MIMO Precoding Multi-user interference
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大规模MIMO系统中的导频分配方法研究,孙旭耀,戚晨皓,本文研究了服务质量(Quality of Service,QoS)约束下的大规模MIMO系统的导频分配。结合了公平性准则与最大化和速率准则的优点进行导频��
2021-03-03 16:00:09 605KB 通信技术
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一类MIMO系统连续状态空间模型的参数辨识频域方法
2021-03-02 19:04:49 384KB 研究论文
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具有MMSE接收器的低分辨率大规模MIMO系统的渐近分析
2021-03-02 09:07:35 700KB 研究论文
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为多用户mmWave大规模MIMO系统最大化基于最小相位差的混合波束成形
2021-03-02 09:06:40 292KB 研究论文
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容量的用户调度-Jain的公平性折衷方案,用于毫米波MIMO系统
2021-03-02 09:06:39 904KB 研究论文
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MIMO OFDM Simulator: OFDM.m: OFDM Simulator (outer function) create_channel.m: Generates a Rayleigh fading frequency-selective channel, parametrized by the antenna configuration, the OFDM configuration, and the power-delay profile. svd_decompose_channel.m: Since full channel knowledge is assumed, transmission is across parallel singular value modes. This function decomposes the channel into these modes. BitLoad.m: Apply the bit-loading algorithm to achieve the desired bit and energy allocation for the current channel instance. ComputeSNR.m: Given the subcarrier gains, this simple function generates the SNR values of each channel (each singular value on each tone is a separate channel). chow_algo.m: Apply Chow's algorithm to generate a particular bit and energy allocation. EnergyTableInit.m: Given the SNR values, form a table of energy increments for each channel. campello_algo.m: Apply Campello's algorithm to converge to the optimal bit and energy allocation for the given channel conditions. ResolvetheLastBit.m: An optimal bit-loading of the last bit requires a unique optimization. modulate.m: Modulate the random input sequence according to the bit allocations for each channel. ENC2.mat: BPSK Modulator ENC4.mat: 4-QAM Modulator (Gray coded) ENC16.mat: 16-QAM Modulator (Gray coded) ENC64.mat: 64-QAM Modulator (Gray coded) ENC256.mat: 256-QAM Modulator (Gray coded) precode.m: Precode the transmitted vector at each time instance by filtering the modulated vector with the right-inverse of the channel's right singluar matrix. ifft_cp_tx_blk.m: IFFT block of the OFDM system. channel.m: Apply the channel to the OFDM frame. fft_cp_rx_blk.m: FFT block of the OFDM system. shape.m: Complete the diagonalization of the channel by filtering the received vector with the left-inverse of the channel's left singular matrix. demodulate.m: Perform a nearest neighbor search knowing the transmit constellation used.
2019-12-21 22:22:59 1.65MB OFDM-MIMO,matlab,
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