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COOPERATIVE MIMO-BEAMFORMING FOR MULTIUSER RELAY NETWORKS
- COOPERATIVE MIMO-BEAMFORMING FOR MULTIUSER RELAY NETWORKS
ZF.m
- zero forcing receiver design in mimo systems
ofdm_simulation_with_matlab
- OFDM信道估计和均衡的仿真程序，包括MMSE、LS、ZF等方法-OFDM channel estimation and balanced simulation program, including the MMSE, LS, ZF and other methods
zf
- 一个比较不错的租房系统，对于刚开始学习struts2、 hibernate 、spring的同学们是很有帮助的，一起研究一下啊-A relatively good rental system, for the beginning of the study struts2, hibernate, spring is helpful to the students, study together ah
ZF_OSIC
- BER for BPSK modulation with 2x2 MIMO and ZF-SIC-Sorted equalizer (Rayleigh channel)
MIMO_ZF_MMSE
- MIMO系统中，MMSE和ZF自适应均衡准则误码率的比较，性能较好-In MIMO system, MMSE and ZF equalization error rate comparison criteria, the performance is good
main
- 在一个MIMO系统里对ZF，MF，MMSE三种不同预编码准则和滤波器进行了仿真，并比较其不同。-In a MIMO system for ZF, MF, MMSE precoding three different criteria and filter simulation, and compare its different.
article
- 软件程序按照发射端所掌握的各用户信道状态信息的程度共分为两部分：即完整信道状态信息(CSIT)和部分信道状态信息(CSIP)。其中，每一部分都包括预编码(precoding)和用户调度(scheduling) 在CSIT中，precoding又按照各用户的数据流数分为单数据流和多数据流两种情况。在每种情况下，首先考察了不同预编码算法的性能表现，包括两种ZF、MMSE、SINR、SLNR。之后又考察了功率分配算法的性能表现（文件名中含有PD表明其含有功率分配的过程）。按照不同指标进行功率
Spatial-Complex-MIMO-ZF
- Spatial Complex, 2*2 MIMO, 2 transmitter 2 reciever, use Zero Force techniques.-Spatial Complex, 2* 2 MIMO, 2 transmitter 2 reciever, use Zero Force techniques.
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
simulation-V-BALST
- 仿真V-BALST结构ZF检测算法性能。-Simulation V-BALST structure ZF detection algorithm performance.
MIMO_ZF_4QAM.m
- BER performance for 2x2 MIMO with ZF receiver
XG_MRT_ZF_shujvlv
- 对于多用户的MISO系统分别用MRT方法和ZF方法优化数据率，并画出曲线比较两种方法-MRT methods were used to optimize the data rate and the ZF method for multi-user MISO system
zfmmseml
- ZF,ML,MMSE detection techniques for MIMO systems
MIMO-using-equalizers
- MIMO 2x2 systems using ZF 128-qam, 256-QAM,256-PSK, 512-PSK. MIMO 2x2 system using MMSE equalisation for QPSK modulation
VBLAST_detect
- demodulation--------解调 ml------------------最大似然 mmse----------------最小均方误差 mmse_osic-----------排序逐层干扰mmse vblast_main---------主程序 zf------------------迫零 zf_osic-------------排序逐层干扰zf-demodulation-------- demodulation 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
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.
ZFandMMSEandZFSIC
- 该代码的功能是对ZF检测、MMSE检测、ZF-SIC检测的误码率性能做出比较-The code' s function is to detect ZF, MMSE detection, error rate performance ZF-SIC detection to make a comparison
Muti-User
- 代码的功能是MIMO系统中多用户基于发送端预编码算法，主要是对ZF预编码与MMSE预编码误码率性能比较-Code function is multi-user MIMO systems pre-coding algorithm based on the sending end, mainly for ZF and MMSE precoding pre-coding BER performance comparison