搜索资源列表
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
MIMO_detection
- MIMO 检测仿真 ML MMSE ZF 还有OSIC的-MIMO detector simulation ML MMSE ZF OSIC' s there
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
ZF_MMSE_SIC
- vblast算法，2x2天线，BPSK调制，ZF、ZF-SIC、MMSE、MMSE-SIC检测算法，他们的误码率对比-vblast algorithm, 2x2 antenna, BPSK modulation, ZF, ZF-SIC, MMSE, MMSE-SIC detection algorithms, their error rate comparison
Six-equalizers-for-V-BLAST
- Six equalizers for V-BLAST- the program I am using is an OSIC detector function that implements VBLAST algorithm using MMSE (SINR based ordering), ZF (SNR based ordering) and column-norm based ordering.
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.
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
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
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
Frequency_sel_channel_est_equa
- This codes are for frequency selective fading channels for MIMO system. Both estimation and equalization are done using LS and MMSE estimation and ZF and MMSE equalization.
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
MIMO
- 本程序主要仿真MIMO系统的ZF以及MMSE算法，在不同信噪比下的误码率。-This program mainly ZF and MMSE algorithm of multi-input multi-output (MIMO) system simulation, under different SNR ber.
ZF_test
- 单小区单用户多天线MIMO环境下，QPSK调制进行ZF接收处理，比对理想，非理想和一般MMSE接收的性能-Under the single-cell single-user multi-antenna MIMO environment, QPSK modulation ZF receiving treatment, compared to the ideal, non-ideal performance and general ZF reception
Joint_Detection
- TD-SCDMA系统的多用户联合检测的MMSE-BLE和ZF-BLE算法仿真-the simulation of the MMSE-BLE and ZF-BLE algorithms for the multiusers joint-detection of TD-SCDMA
minnorm
- mimo天线的ML，mmse，zf，mmse-osic算法的代码-Mimo antenna ML and mmse, zf and mmse- osic algorithm code
UFMC_OFDM___TransceiverChain
- 新波形UFMC的收发机链路的仿真，描述了ZF,MF,MMSE三种估计算法。-UFMC for MATLAB
eighth-homework
- 实现两种信道环境下的ZF均衡和MMSE均衡，并比较两者的误码率曲线-ZF and MMSE equalization to achieve a balanced two-channel environment, and compare the BER curves