Search - ML MIMO matlab

Search - ML MIMO matlab - List

[Communication-Mobile] mimo(blast) DL : 0: 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
Update : 2008-10-13 Size : 3.01kb Publisher : feitian
[Communication-Mobile] mimo(blast) DL : 0: 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
Update : 2025-02-17 Size : 3kb Publisher : feitian
[Other] OFDM_emluator DL : 0: 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
Update : 2025-02-17 Size : 1kb Publisher : luoyanqun
[Other] MIMO23_ML_ZF DL : 0: 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
Update : 2025-02-17 Size : 5kb Publisher : 黄虎
[matlab] MIMOwithMLequalization DL : 0: 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)
Update : 2025-02-17 Size : 1kb Publisher : lynn
[Communication-Mobile] ber_2x2mimo_ML DL : 0: 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.
Update : 2025-02-17 Size : 1kb Publisher : Umashankar Dewangan
[Other] ML_algorithm DL : 0: 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
Update : 2025-02-17 Size : 3kb Publisher : zhwx
[JSP/Java] ml DL : 0: mimo系统ml算法的matlab仿真程勋-algorithm for mimo systems ml
Update : 2025-02-17 Size : 1kb Publisher : 陈浩
[Industry research] 5-files DL : 0: It contains 4 matlab codes for ZF,MMSE,ML equalizer for MIMO systems and 1 document based on linear detector for MIMO system
Update : 2025-02-17 Size : 148kb Publisher : yashoda
[matlab] ML-equalization-in-MIMO DL : 0: 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.
Update : 2025-02-17 Size : 2kb Publisher : mingzhan
[3G develop] MIMO_ofdm DL : 0: 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！
Update : 2025-02-17 Size : 1.87mb Publisher : 刘苍
[Other] MIMO DL : 0: 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
Update : 2025-02-17 Size : 11kb Publisher : lisuyi
[GPS develop] swwtr DL : 0: Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, MIMO OFDM matlab simulation, Matlab to achieve user-friendly.
Update : 2025-02-17 Size : 6kb Publisher : ebxcpf
[Communication-Mobile] MIMO_QAM_MATLAB DL : 1: 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)
Update : 2025-02-17 Size : 6kb Publisher : myple
[Communication-Mobile] BER_perf_4QAM_2x2MIMO DL : 0: 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)
Update : 2025-02-17 Size : 1kb Publisher : myple
[Communication-Mobile] BER_perf_4QAM_4x4MIMO DL : 0: 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)
Update : 2025-02-17 Size : 1kb Publisher : myple
[Communication-Mobile] BER_perf_16QAM_2x2MIMO DL : 0: 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)
Update : 2025-02-17 Size : 1kb Publisher : myple
[Communication-Mobile] BER_perf_16QAM_4x4MIMO DL : 0: 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)
Update : 2025-02-17 Size : 1kb Publisher : myple
[Communication-Mobile] QPSK-ALL DL : 0: 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)
Update : 2025-02-17 Size : 10kb Publisher : mls9583
[Other] 03-2x2MIMO系统的完整数据链仿真 DL : 0: % 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);
Update : 2020-08-29 Size : 3.75mb Publisher : hlayumi

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