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Description: two path fading(qpsk)
这个是我写的关于qpsk的MIMO信道mmse的计算方法,站长帮帮忙,我现在很需要一篇<信道估计算法>(基于瑞利衰落信道的LS算法的Matlab程序),后天就要交了,救人一命胜造7级浮屠啊!-two path fading (qpsk) This is what I wrote on the MIMO qpsk Channel mmse method of calculation to get help from the head, I am now a need
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Size: 1182 |
Author: oliver |
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Description: 应用了典型的MMSE算法对MIMO-OFDM信道进行估计,包含有详细的说明-a typical application MMSE algorithm for MIMO-OFDM channel estimation, contains detailed explanations
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Size: 4029 |
Author: 石宙飞 |
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Description: 一种常用空分复用的MIMO系统，v-blast系统的各种检测算法：ML，MMSE,ZF,以及采用迫零的连续干扰消除检测算法
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Size: 5653 |
Author: 李华 |
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Description: MIMO-OFDM channel estimation 。是基于mmse准则的，欢迎大家下载使用。
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Size: 2190 |
Author: 东 |
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Description: 一基于子空间方法的盲信道估计程序，有英文解释。-a space-based method for the blind channel estimation procedures, English explained.
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Size: 2048 |
Author: 赵俊义 |
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Description: 关于MIMO-OFDM的调制技术，在个参数设置情况下的MMSE VBLAST仿真-about MIMO-OFDM
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Size: 1024 |
Author: kelly |
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Description: 在ZF算法，MMSE算法和V-BLAST等算法下分析MIMO-OFDM系统的性能，并进行比较。-In the ZF algorithm, MMSE V-BLAST algorithm and other algorithms to analyze the performance of MIMO-OFDM system, and compared.
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Size: 6144 |
Author: 吴晓蔓 |
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Description: MIMO-OFDM using STBC, ZF MMSE equalizer
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Size: 464896 |
Author: yourstar
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Description: Using a large number of finite element method to solve partial differential equations, Analog data analysis processing, Minimum mean square error (MMSE) algorithm.
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Size: 151552 |
Author: yaofiuguikei
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Description: In this paper, we investigate blind channel estimation for Multiple Input Multiple Output (MIMO) multi-carrier
CDMA (MC-CDMA) systems in the uplink scenario. An Autocorrelation Contribution Matrix (ACM) method is proposed in
comparison with the subspace approach. Using only second order
statistics, the ACM approach shows similar performance to that
of subspace based approach. The added advantage is that it eliminates the need for rank estimation and noise power calculation
as in subspace technique. In particular we incorporate blind
channel estimation with Layered Space Frequency Equalisation
(LSFE),which employs successive interference cancellation and
therefore provides significant performance improvement over the
conventional linear minimum mean square error (MMSE) based
approach.
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Size: 109568 |
Author: Casper_z
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Description: MMSE与ZF准则下mimo接收检测算法(MIMO receiver detection algorithm under MMSE and ZF criteria)
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Size: 1024 |
Author: zed_awp
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Description: 主要实现了接收天线数量和发送天线数量可配的mimo系统多用户检测，分别采用ML，MMSE，ZF检测方法，得到性能比较曲线。(The multi-user detection of mimo system with the number of receiving antennas and the number of transmitting antennas is mainly realized. The performance comparison curve is obtained by using ML, mse and ZF detection methods respectively.)
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Size: 57344 |
Author: 王家小丫头 |
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Description: MMSE信号检测，大规模MIMO系统设计，附带matlab程序以及论文！(Low-complexity MMSE signal detection based on Richardson method for large-scale MIMO systems)
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Size: 171008 |
Author: 铁血浪漫 |
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Description: MIMO uses different linear precoding techniques such as ZF,MMSE and MRT
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Size: 119824 |
Author: Neelima |
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Description: MMSE uses lattice reduction technique to improve the performance in multi user MIMO
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Size: 8758 |
Author: Neelima |
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Description: share knowledge for everybody in this platform to make it easy for your work
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Size: 84992 |
Author: kitra |
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Description: mimo信号检测算法
很多常见算法如MMSE等、MMSE-SIC等，如果能够对你有用，那就敬请下载吧
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Size: 1546838 |
Author: lltian |
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Description: MIMO系统预编码仿真，使用ZF、MMSE、SLNR、BD算法调试成功。(MIMO system precoding simulation, using ZF, MMSE, SLNR, BD algorithm debugging successfully.)
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Size: 4096 |
Author: 依菲 |
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Description: % Type of different detectors, parameters for Detector.m
ML = 1; % Joint ML Detector
JMMSE = 2; % Joint MMSE Detector
ZF = 3; % Joint Zero-Forcing Detector
% Type of different antenna selection criteria methods
MBER = 1;
MMI = 2;
LAZY = 3;
MNP = 4; %Minimum Noise Power
MMNP = 5;
LAZY2 = 6;
real_ch = 0; % real_ch = 0 refers to simulated channel in MATLAB, otherwise refers to real channel
SNR_dB = 20;% transmit SNR in the simulated channel
nr_frames = 20; % number of frames sent when simulation.
detect_type = ZF; % Detector choice
select_type = MBER; % Antenna selection choice
disp('');
tx(nr_frames);
disp('Press any key to continue');
pause
RF(real_ch,SNR_dB);
disp('Press any key to continue');
pause
BER = rx(detect_type,select_type);
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Size: 3933184 |
Author: hlayumi |
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Description: Weighted Sum-Rate Maximization using Weighted MMSE for MIMO-BC Beamforming DesignWeighted Sum-Rate Maximization using Weighted MMSE for MIMO-BC Beamforming Design
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Size: 764 |
Author: aliusman786 |
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