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
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
vblast
- MIMO系统线性均衡，ZF均衡，MMSE均衡，及其改进算法-MIMO system linear equalization, ZF equalization, MMSE equalization, and its improved algorithm
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
cctemp
- mimo在两种情况下（ZF和MMSE）的信道容量，并进行比较-mimo channel capacity, in both cases (ZF and MMSE) and compared
ZFandMMSE
- MIMO系统的ZF和MMSE预编码算法-4发4收-ZF and MMSE MIMO system pre-coding algorithm-4 of 4 admission
SIC
- 串行干扰消除技术有利于消除MIMO系统的多天线干扰，本文件包含ZF-sic与MMSE-sic-Serial interference elimination technology to eliminate the antennas of the MIMO system interference, this file contains the ZF- sic and MMSE- sic
MIMO_detection
- MIMO 检测仿真 ML MMSE ZF 还有OSIC的-MIMO detector simulation ML MMSE ZF OSIC' s there
MIMO_MMSE_ZF
- MIMO信道模型中，基于MMSE和ZF排序检测算法的仿真，并给出了其性能曲线的比较。-The MIMO channel model, simulation of MMSE and ZF sequence detection algorithm based on, and gives the comparison of the performance curve.
Untitled2
- MIMO系统中采用16QAM调制的ZF、MMSE、ZF-SIC、MMSE-SIC检测-ZF、MMSE、ZF-SIC、MMSE-SIC detection with 16 QAM modulation in MIMO system
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
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.
P_MMSE_SIC
- 为了解决MIMO中的码间串扰问题，采用改进的MMSE-SIC算法惊醒均衡。结果显示为采用均衡算法与为采用均衡算法，误码率随着信噪比增加而增加的图像。-In order to solve the inter-symbol interference in MIMO problem, an improved ZF-SIC algorithm awakened balanced. The results show that the algorithm for the introduction of a
zf_mmse
- MIMO系统的zf和mmse检测算法的matlab实现-zf and mmse detection algorithm matlab MIMO system implementation
MU_MIMO
- 多用户MIMO预编码技术的对比，bd预编码，zf预编码，mmse预编码等，对学习多用户mimo系统很有帮助。-Multi-user MIMO precoding technology comparison, bd precoding, zf precoding, mmse precoding, etc., to learn multi-user mimo system is very helpful.
MIMO检测
- MIMO中的ZF检测，MMSE检测，和QR分解，LTL分解，克罗克分解，及两种检测算法的误码率分析
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
demo(1)
- MIMO系统预编码仿真，使用ZF、MMSE、SLNR、BD算法调试成功。(MIMO system precoding simulation, using ZF, MMSE, SLNR, BD algorithm debugging successfully.)
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