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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
tuge-v
- 这个是基于图论的分割算法，是根据一篇sic编的，效果值得信赖-This is a compilation of matlab m file with the graph cut algorithm is based on a paper series, the effect trustworthy
zf_sic
- MIMO system qith ZF equalizer and SIC equalizer on Matlab
code2
- mimo检测算法zf.zf-sic,mmse,mmse-sic性能曲线的matlab仿真，实测可用- mimo检测算法zf.zf-sic,mmse,mmse-sic性能曲线的matlab仿真，实测可用 MIMO detection algorithm zf.zf-sic, MMSE, mmse-sic performance curve of the MATLAB simulation, measured available
singleusermimo
- ZF、MMSE、ZF.SIC、 MMSE—SIC这4种算法的性能优劣,并用Matlab进行仿真,分析了这些算法的性能.结果表明,性 能最好的为MMSE—SIC,这是zf-ZF, MMSE, ZF.SIC, MMSE-SIC these four algorithms performance advantages and disadvantages, and use Matlab simulation analysis of the performance of these algorithms
mimo-detection
- MIMO antennas detection and estimation matlab codes ZF,SIC, OSIC, MMSE