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blast_mimo_zf
- ,仿真四种（ZF,ZF-SIC,MMSE,MMSE-SIC） Vblast接收机的检测性能，绘制误比特率～信噪比曲线。-Simulation of four (ZF, ZF-SIC, MMSE, MMSE-SIC) vblast receiver detection performance, drawing the bit error rate to the signal-to-noise ratio curve.
capacity
- 实现了zf和MMSE预编码下的信道容量，对朋友们的学习会有一定的帮助-ZF and MMSE precoding channel capacity, with the help of some friends learning will be
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
ZF_MMSE_ML_QPSK
- The perfomance comparison of ZF ,MMSE and Ml detection
ZFMMSESIC
- 本程序用MATLAB对ZF,MMSE，SIC进行了快衰落信道的检测算法仿真。调制用的是BPSK，对初学3G的同志们来说很实用-This procedure using MATLAB to ZF, MMSE, SIC conducted a fast fading channel detection algorithm simulation. Modulated using BPSK, 3G comrades for beginners is very useful
vblastpic11
- 采用BPSK调制技术，用ZF和MMSE加并行干扰消除的方法检测系统的误码率。-Using BPSK modulation technique, with the ZF and MMSE plus parallel interference cancellation method to detect the BER.
zf_mmse_junheng
- channnel estimation using ZF and MMSE estimators
two_way_relay
- two-way-relay场景下，中继处理矩阵的设计，仿真分析了DPC-ZF及DPC-MMSE算法的性能要由于AF与ZF算法性能。-In the two-way-relay scenario,simulation show that both DPC-ZF and DPC-MMSE have a higher throughput and lower BER performance compared with the traditional AF algorithm and ZF algorit
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
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
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
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
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
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