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Description: 供初学空时编码(vblast接收)的matlab仿真程序,是关于vblast接收中ML算法的简单的仿真-for novice space-time coding (vblast receiver) Matlab simulation program, on the ML vblast Receiving a simple algorithm simulation
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Size: 3079 |
Author: feitian |
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Description: 供初学空时编码(vblast接收)的matlab仿真程序,是关于vblast接收中ML算法的简单的仿真-for novice space-time coding (vblast receiver) Matlab simulation program, on the ML vblast Receiving a simple algorithm simulation
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Size: 3072 |
Author: feitian |
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Description: ofdm仿真器,外部功能。输入发射天线数和接收天线数,输出信噪比、误比特率-ofdm simulator, the external function. Importation fired several antennas and receiving antennas few, and the output signal-to-noise ratio, bit error rate
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Size: 1024 |
Author: luoyanqun |
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Description: MIMO 2*3系统ML和ZF检测的BER性能仿真-MIMO 2* 3 System ML and ZF detection BER performance simulation
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Size: 5120 |
Author: 黄虎 |
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Description: 2X2 MIMO系统使用ML(最大似然)接受。(验证可用)-2X2 MIMO system using the ML (maximum likelihood) to accept. (Verification can be used)
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Size: 1024 |
Author: lynn |
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Description: The results for 2×2 MIMO with Maximum Likelihood (ML) equalization helped us to achieve a performance closely matching the 1 transmit 2 receive antenna Maximal Ratio Combining (MRC) case.
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Size: 1024 |
Author: Umashankar Dewangan |
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Description: MIMO系统中进行信道估计的原始代码,Matlab格式。-code with matlab format for channel estimation in MIMO system
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Size: 3072 |
Author: zhwx |
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Description: mimo系统ml算法的matlab仿真程勋-algorithm for mimo systems ml
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Size: 1024 |
Author: 陈浩 |
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Description: It contains 4 matlab codes for ZF,MMSE,ML equalizer for MIMO systems and 1 document based on linear detector for MIMO system
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Size: 151552 |
Author: yashoda |
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Description: 在平稳瑞利多径信道下,用BPSK调制,用matlab 仿真由最大似然译码的性能。-It discuss a receiver structure called Maximum Likelihood (ML) decoding which gives us a better performance. We will assume that the channel is a flat fading Rayleigh multipath channel and the modulation is BPSK.
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Size: 2048 |
Author: mingzhan |
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Description: 网上搜的关于MIMO-OFDM同步技术的文章和一个ML的MATLAB代码,希望对大家有用!-something about MIMO OFDM ,I wish can help you!
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Size: 1961984 |
Author: 刘苍 |
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Description: 在matlab的环境下,实现MIMO检测功能,包括最大似然检测(ML),最小均方误差(MMSE)检测和迫零(ZF)检测-In the matlab environment, to achieve MIMO detection, including maximum likelihood detection (ML), minimum mean square error (MMSE) detection and zero-forcing (ZF) detection
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Size: 11264 |
Author: lisuyi |
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Description: Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, MIMO OFDM matlab simulation, Matlab to achieve user-friendly.
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Size: 6144 |
Author: ebxcpf
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Description: 2x2,4x4MIMO的误码率性能仿真,比较了ML,ZF,MMSE,ZF-SIC,MMSE-SIC在4QAM和16QAM下的性能曲线(The BER performance of 2x2 and 4x4MIMO is simulated, and the performance curves of ML, ZF, MMSE, ZF-SIC, and MMSE-SIC under 4QAM and 16QAM are compared)
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Size: 6144 |
Author: myple
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Description: 2x2MIMO的误码率性能仿真,比较了ML,ZF,MMSE,ZF-SIC,MMSE-SIC在4QAM下的性能曲线(The BER performance of 2x2MIMO is simulated, and the performance curves of ML, ZF, MMSE, ZF-SIC, and MMSE-SIC under 4QAM are compared)
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Size: 1024 |
Author: myple
|
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Description: 4x4MIMO的误码率性能仿真,比较了ML,ZF,MMSE,ZF-SIC,MMSE-SIC在4QAM下的性能曲线(The BER performance of 4x4MIMO is simulated, and the performance curves of ML, ZF, MMSE, ZF-SIC, and MMSE-SIC under 4QAM are compared)
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Size: 1024 |
Author: myple
|
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Description: 2x2MIMO的误码率性能仿真,比较了ML,ZF,MMSE,ZF-SIC,MMSE-SIC在16QAM下的性能曲线(The BER performance of 2x2MIMO is simulated, and the performance curves of ML, ZF, MMSE, ZF-SIC, and MMSE-SIC under 16QAM are compared)
Platform: |
Size: 1024 |
Author: myple
|
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Description: 4x4MIMO的误码率性能仿真,比较了ML,ZF,MMSE,ZF-SIC,MMSE-SIC在16QAM下的性能曲线(The BER performance of 4x4MIMO is simulated, and the performance curves of ML, ZF, MMSE, ZF-SIC, and MMSE-SIC under 16QAM are compared)
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Size: 1024 |
Author: myple
|
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Description: 简单的MIMO模拟
假定QPSK,ML解码(SM ZF检测器除外)。
mrc.m - 最大比例组合
stc.m - 具有1和2个接收天线的Alamouti空时分组码
bf.m - 特征波束形成
sm.m - 空间复用2x2(ML解码和次优逼迫)
简单的OFDM仿真
模拟保护带,用于信道估计的循环前缀前导码符号(Simple MIMO simulations
Assumes QPSK, ML decoding (except SM ZF detector).
mrc.m - maximal ratio combining
stc.m - Alamouti space-time block code with 1 and 2 receive antennas
bf.m - Eigen-beamforming
sm.m - Spatial multiplexing 2x2 (both ML decoding and suboptimal zero forcing)
Simple OFDM simulation
Simulates guard band, cylic prefix Preamble symbol used for channel estimation)
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Size: 10240 |
Author: mls9583 |
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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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