搜索资源列表
V-BLAST
- 本程序是对V-BLAST系统及其检测算法的仿真，可采用BPSK,QPSK,16QAM,64QAM调制。检测算法为ML，MMSE,ZF,以及采用迫零的连续干扰消除检测算法。
quadrantdect
- VBLAST检测，包括ZF-SIC MMSE-SIC QRM-MLD ML等 4种译码算法 16QAM调制-VBLAST testing, including the ZF-SIC MMSE-SIC QRM-MLD ML decoding algorithm, etc. 4 16QAM modulation
hw3miso
- MISO receive techniques: ML, MMSE, SIC
ApproximateMLDetectionBasedonMMSEforMIMOSystems.r
- Approximate ML Detector based on MMSE
club
- MMSE-SIC and ML for QPSK-MMSE-SIC and ML for QPSK
ZF-MMSE-ML
- 对2*2瑞利衰落BQSK调制的MIMO信道进行均衡，对比ZF、MMSE、ML方法的均衡效果。-scr ipt for computing the BER for BPSK modulation in a Rayleigh fading channel with 2 Tx, 2Rx MIMO channel with MMSE、ZF、ML equalization.
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
MMSE
- 适用于LTE标准下的最大似然估计的ML粗同步检测方法，适用于LTE标准FDD模式，普通帧结构类型-ML crude synchronous detection method applicable to the LTE standard maximum likelihood estimation for LTE standard FDD mode, the general frame structure type
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
V-BLAST-System-algorithm-simulation
- 本程序是对V-BLAST系统及其检测算法的仿真，可采用BPSK,QPSK,16QAM,64QAM调制。检测算法为ML，MMSE,ZF,以及采用迫零的连续干扰消除检测算法。-This program is a simulation, the V-BLAST system and its detection algorithm can be used for BPSK, QPSK, 16QAM, 64QAM modulation. Detection algorithm for the ML, M
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
Vblast
- 仿真（ZF,ZF-SIC,ZF-OSIC,MMSE,MMSE-SIC,MMSE-OSIC,ML)Vblast接收机的检测性能，绘制误比特率～信噪比曲线-Simulation (ZF, ZF-SIC, ZF-OSIC, MMSE, MMSE-SIC, MMSE-OSIC, ML) detection performance Vblast receiver bit error rate ~ SNR plotted curve
MIMO_Homework
- Matlab code to perform MIMO ZF, MMSE, VBLAST and ML Decoding
Project_2
- Matlab _ MIMO + QPSK + ML/MMSE/ZF 在Matlab的平台上,应用QPSK调制,以及3种不同的探测方法,实现并模拟了2x2的MIMO功能.-Matlab _ MIMO+ QPSK+ ML/MMSE/ZF on the Matlab platform, application QPSK modulation, as well as three different detection methods, and to achieve the simulated 2x2
MMSEandMLcomparison
- ML与MMSE的性能比较，通过观察误码率可以发现ML的性能要比MMSE好。-Performance comparison between ML and MMSE.
Signal-parameter-estimation-
- PPT主要讲解通信系统中的参数估计问题，并且系统介绍了估计中常用的几大准则，如MMSE准则、ML准则、MAP准则等-PPT mainly on communication systems parameter estimation problem, and we estimate the system introduced several commonly used criteria such as MMSE criterion, ML criterion, MAP and other crite
mimo-detection-
- 实现mimo的zf mmse 和ml检测算法的代码，并有针对信道已知和未知的多路径通信-realization of ZF MMSE and ML detection for MIMO. And multiple-path communication with channel known and unkonwn
MIMO_QAM_MATLAB
- 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)
BER_perf_4QAM_2x2MIMO
- 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)