搜索资源列表
基于排序QR分解的MMSE算法解调VBLAST
- VBLAST编码，然后采用ZF-SIC,MMSE-SIC，MMSE-QR，MMSE-SQR等多种方法解码，适合于初学者。
MultiuserDetection
- 多用户检测算法的比较，包括解相关、MMSE、SIC、PIC-Multi-user detection algorithm, including the decorrelating, MMSE, SIC, PIC
BLAST
- blast检测方案，比价了ZF,MMSE,ZF-SIC,MMSE-SIC四种检测算法的性能-blast testing program, the price ZF, MMSE, ZF-SIC, MMSE-SIC detection algorithm in the performance of four
MIMO44
- 论文仿真原型程序,仿真四种（ZF,ZF-SIC,MMSE -SIC） Vblast接收的检测性能，绘制误比特率～信噪比曲线。 发端初始化=============================================================== 发射天线数tx,接收天线数rx,发射矩阵长度L(帧长) - Paper prototype simulation procedures, simulatio
ZF-MMSE
- VBLST译码算法仿真源程序 代码包括了常用的调制和解调方式。-Simulation VBLST source decoding algorithm
mmse-sic
- 一个MIMO 2*2系统的误码率仿真,收端采用MMSE-SIC检测方式-computing the BER for BPSK modulation in a Rayleigh fading channel with 2 Tx, 2Rx MIMO channel Minimum Mean Square Error Equalization with Successive Interference Cancellation
Pro
- vblastpic1:tx=2,rx=2时ZF,ZF-SIC,MMSE -SICvblastpic2:tx=4,rx=4时ZF,ZF-SIC,MMSE -SIC vblastpic3 vblastpic4:MIMO vblastpic6:tx=4,rx=4, vblastpic7ZF-SIC(unordered) vblastpic8: vblastpic9: vblastpic10: vblastpic
sig
- and MMSE-SIC equalizer (Rayleigh channel- and MMSE-SIC equalizer (Rayleigh channel) )
blast
- 仿真原型程序,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-zf mmse vblast
hw3miso
- MISO receive techniques: ML, MMSE, SIC
MMSE-SIC
- This is a file containing SIC algorithm
SM_MMSE_ZF
- 空间复用中ZF/MMSE-SIC检测算法-MMSE-SIC ZF-SIC Spatial Multiplexing schemes
vblast
- 对VBLAST的几种常见的算法（zf,mmse,sic,zf/mmse_sic,osic,sqrd）分别进行了编程仿真-On several common algorithms VBLAST (zf, mmse, sic, zf/mmse_sic, osic, sqrd) simulation program were carried out
blastdetect
- blast 检测算法比较 基于ZF MMSE SIC准则，GUI界面-blast detection ，based on ZF，MMSE etc
quadrantdect
- VBLAST检测，包括ZF-SIC MMSE-SIC QRM-MLD ML等 4种译码算法 16QAM调制-VBLAST testing, including the ZF-SIC MMSE-SIC QRM-MLD ML decoding algorithm, etc. 4 16QAM modulation
ProjectMotroniuk_with-ZF-SIC-and-MMSE-SIC
- Project on_EXTENDING ALGORITHMS FOR DETERMINING THE DECODING ORDER BY THE USAGE OF AN MMSE APPROACH- ZF-SIC and MMSE-SIC thesis-Project on_EXTENDING ALGORITHMS FOR DETERMINING THE DECODING ORDER BY THE USAGE OF AN MMSE A
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
ZF-MMSE
- ZF-SIC、MMSE-SIC检测算法实现，及误码率对比，带检测信道的所有行最小二范数的函数-ZF-SIC, MMSE-SIC detection algorithm, and the error rate compared with all the lines to detect the smallest two-channel function norm
MIMO_QAM_MATLAB
- 2x2，4x4MIMO的误码率性能仿真，比较了ML,ZF,MMSE,ZF-SIC,MMSE-SIC在4QAM和16QAM下的性能曲线(The BER performance of 2x2 and 4x4MIMO is simulated, and the performance curves of ML, ZF, MMSE, ZF-SIC, and MMSE-SIC under 4QAM and 16QAM are compared)
MIMO和Massive MIMO信号检测算法仿真程序
- 本资源中包含了三种线性信号检测算法MRC,ZF,MMSE和非线性信号检测算法ZF-SIC,MMSE-SIC。分别在传统mimo和Massive MIMO系统中进行仿真，分别给出了信噪比-误码率曲线和误码率-接收天线数曲线(MIMO signal detection algorithm)