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
lesson8
- 信道均衡 目的和原理 mlSE、 DFE、 zf/LMMSE均衡 干扰抵消 原理 导频干扰抵消和多码道干扰抵消 HSDPA简介 主要信道 接收机结构 -Channel equalization purposes and principles of mlSE, DFE, zf/LMMSE equalizer pilot interference cancellation principle of interference cancellation and mul
MIMO23_ml_zf
- 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
V-BLASTSystem
- 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 V-BLAST system and its detection algorithm of the simulation, can be used BPSK, QPSK, 16QAM, 64QAM modulation. Detection algorithm for the ml, MMS
MIMO
- 自己改写的MIMO系统中进行ml,MSE,zf3种estimation，并比较-in the MIMO system, realize the ml,MSE,zf estimator, and compare them
V-BLAST-[matlab-source-code]
- 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
MIMO_detection
- MIMO 检测仿真 ml MMSE zf 还有OSIC的-MIMO detector simulation ml MMSE zf OSIC' s there
tp2_program
- 用Matlab仿真一个发端4天线，收端6天线的V-BLAST系统.接收端分别使用zf（迫零），MMSE（最小均方误差），ml（最大似然）和SIC（串行干扰消除）算法，分析比较各个算法下的误比特率。-Matlab simulation of an originator with 4 antennas, antenna receiving end 6 V-BLAST system. Receiving end were using zf (zero forcing), MMSE (minimum m
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
v-blast-detectors-44
- 4*4MIMO系统V-blast系统，内含调制解调程序，接受算法包括zf，MMSE，ml-4* 4MIMO system V-blast system, including modulation and demodulation process, acceptance algorithm includes zf, MMSE, ml
BER-for-BPSK--zf--ml-2-2
- mimo 2*2 ,采用BPSK调制，内含zf，MMSE检测算法。-mimo 2* 2,using BPSK modulation, containing zf, MMSE 1detection algorithm.
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
MMMO
- MIMO 2 3系统ml和zf检测的BER性能仿真(BER performance Simulation of ml and zf Detection in MIMO 23 system)
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