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
ber_linear_detection
- MIMO系统线性检测算法误码率性能的脚本，包括MMSE, ZF，MF等。只需输入接受天线个数、发送天线个数即可。 -MIMO system bit error rate performance of linear detection algorithm scr ipt, including the MMSE, ZF, MF. Simply enter the number of receiving antennas, the number of transmit antennas.
detection-algorithm
- 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.
EJSR_59_4_08
- Bit Error Rate Performance Analysis of ZF, ML and MMSE Equalizers for MIMO Wireless Communication Receiver
Codo-mo-phong
- MIMO-Capacity.m (Simulation of MIMO channel capacity of antenna transceivers) MIMO-detector Route tinh.m (compare the bit error rate of twin separation method linear ZF and MMSE)
zf_mmse
- code matlab for computing BER comparison MIMO 2x2 of ZF equalizer and MMSE equalizer (Rayleigh channel)
svdmmsepmmse
- MIMO通信系统中采用三节点结构的模型下比较MMSE，SVD,ZF的误码率性能的仿真-MIMO communication system adopts three point structure under the model of MMSE, SVD, ZF the ber performance of the simulation
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
- 本程序主要仿真MIMO系统的ZF以及MMSE算法，在不同信噪比下的误码率。-This program mainly ZF and MMSE algorithm of multi-input multi-output (MIMO) system simulation, under different SNR ber.
MIMO
- 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
bpsk
- MIMO 大规模MIMO 和六个detector 去检测 性能好坏BER-MIMO massive MIMO with six detectors. ZF MMSE ZF-SIC MMSE-SIC ZF-OSIC MMSE-OSIC
qpsk
- MIMO 大规模 MIMO 编码 qpsk 检测器 6个 ber snr ZF MMSE SIC OSIC-MIMO massive MIMO with six detectors. ZF MMSE ZF-SIC MMSE-SIC ZF-OSIC MMSE-OSIC
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-detection
- MIMO antennas detection and estimation matlab codes ZF,SIC, OSIC, MMSE
K1_DAGUIMO-MIMO
- 瑞丽衰落信道MIMO系统运用ZF方法和MMSE方法的模拟实验-Rayleigh fading MIMO systems using simulation methods ZF and MMSE methods
MIMO
- 仿真2*2MIMO通信系统ML、ZF、MMSE检测算法性能，给出三种检测算法的误比特率。-Multi-input multi-output (mimo) communication system simulation 2* 2 ML, ZF and MMSE detection algorithm performance, the bit error rate of three detection algorithms is given.
matrix decomposition for MIMO
- 完成MIMO通信检测的两种算法ZF、MMSE算法的矩阵分解算法。模型采用16QAM调制。(MIMO communication algorithm to complete the two algorithms, ZF and MMSE algorithm matrix decomposition algorithm. The model adopts 16QAM modulation.)
maindetection1
- MMSE与ZF准则下mimo接收检测算法(MIMO receiver detection algorithm under MMSE and ZF criteria)
多用户检测
- 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 us
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