搜索资源列表
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
matlab_scripts_by_Jerrythee
- The MATLAB scr ipts (m-files) Simulate MIMO Communication System with Zero Forcing (ZF) Detection, Minimum Mean Square Error (MMSE) Precoding and Detection. It of course goes with the MAIN Programs which calls the functions.
zf_mmse
- MIMO系统的zf和mmse检测算法的matlab实现-zf and mmse detection algorithm matlab MIMO system implementation
prg-cdma
- this code matlab calculte the BER vs SNR of multi user CDMA system using different detectors sush as MMSE and ZF in rayleigh channel model
equalizer
- matlab code for ZF equalizer
大规模MIMO
- mimo系统中常见的三种算法中的性能比较(Performance comparison of three common algorithms in MIMO system)
03-2x2MIMO系统的完整数据链仿真
- % Type of different detectors, parameters for Detector.m ML = 1; % Joint ML Detector JMMSE = 2; % Joint MMSE Detector ZF = 3; % Joint Zero-Forcing Detector % Type of different antenna selection criteria methods MBER = 1; MMI = 2; LAZY = 3; MNP = 4