搜索资源列表
VBLASTdetectors
- 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
ML_equalizer_for_STBC_systems
- 基于STBC的ML检测MIMO仿真,可以完成ML联合STBC仿真。-The ML detection of MIMO STBC-based simulation, simulation can be completed ML joint STBC.
HW3P1
- code to test the mimo system for the ML and MZ
W5
- code to test the mimo system for the ML and MZ
icdtool
- code to test the mimo system for the ML and MZ
MP_DOA
- 针对多径效应的影响，提出了一种基于矩阵束的MIMO 雷达低仰角快速估计方法。该方法同时考虑了发射多径信号和接收多径信号，采用单样本数信号矢量构造了一个前后向矩阵束，并利用两个酉矩阵对该矩阵束进行降维处理，最后采用广义特征值分解的总体最小二乘法来估计目标角度。算法不需要估计数据协方差矩阵，可在低 信噪比和单样本数情况下，有效地克服多径效应，实现同时多目标低仰角估计，相比最大似然算法，避免了谱峰搜索，计算量小。仿真结果验证了该算法的有效性。-To overcome the multipath e
MIMO_detection
- MIMO系统的几种检测方案，ZF，MMSE，ML译码，其中前两种可以运行，后者有些问题。代码均以调通-Several detection scheme for MIMO systems , ZF , MMSE, the ML decoding , the first two can run,there are some problems of the latter . all Code can run rightly
EJSR_59_4_08
- Bit Error Rate Performance Analysis of ZF, ML and MMSE Equalizers for MIMO Wireless Communication Receiver
ML_Equalizer_2X2
- ML Receiver for 2x2 MIMO
2moreqamcodes
- the code is about ML detector of mimo technology ,,,,we need of vhdl code for all detectors
MIMO_detection
- MIMO 系统中 信号检测算法的比较 zf mmse ML-Performance of zero-forcing detectors over MIMO flat-correlated Ricean fading channels
ML_VP
- 基于穷搜算法的向量扰动预编码脚本，用于测试该算法的误比特率性能。系统模型为4×4的MIMO系统。调制方式为4QAM。参数可以更改。-vector perturbation(VP) precoding algorithm based on exhaustive search (ML). 4*4 MIMO system with 4QAM.
PIC_SDR_LIANG
- 基于窄带mimo系统的最大似然检测算法，基于窄带mimo系统的最大似然检测算法-ML detection
lattice_Combine_ML
- this is a mimo detection program. we can detect ml by this program. its very useful. u can use it anywere
zfmmseml
- ZF,ML,MMSE detection techniques for MIMO systems
MIMO_detection
- MIMO 检测仿真 ML MMSE ZF 还有OSIC的-MIMO detector simulation ML MMSE ZF OSIC' s there
MUD
- MIMO系统基于导频的信道估计及多用户检测，检测算法为：ZF/MMSE/ML-MIMO system multiple user detection base channel estimation.
VBLAST
- In this simulation, a 2 x 2 MIMO system with BPSK modulation is used. Then, the algorithm of V-BLAST is implemented. After that, weight vector is produced using ZF, MMSE and ML detectors. Finally, the BER performance is plotted. A flat fading Rayleig
MIMO_ofdm
- 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！
03-2x2MIMO系统的完整数据链仿真
- % 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