搜索资源列表
FSE-ZF-MMSE
- Matlab code of Zero Forcing Symbol Space Equalizer using MMSE
ZF-MMSEjunheng
- ZF-MMSE预均衡，代码真实有效，可使用-ZF-MMSE pre-equalization, code is valid, can be used. . . . . .
MIMO_detection
- MIMO 检测仿真 ML MMSE ZF 还有OSIC的-MIMO detector simulation ML MMSE ZF OSIC' s there
V-Blast-ZF-and-MMSE-code
- v-blast 线性检测算法代码 zf与mmse-v-blast zf and mmse code
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
mmse-and-amp-no-quantizer
- 大规模中zf，mmse，appro-mmse接收算法-the multiuser detection algorithm of zf ,mmse and appro-mmse in the massive MIMO system
ZF
- 迫零预编码是基于单小区，简单且实用的信道检测算法，用于和MMSE多小区用户的信道检测比较-Zero-forcing precoding is based on a single-cell, channel detection is relatively simple and practical channel detection algorithm for multi-cell users and MMSE
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
~16QAM
- 空间检测，16qam的调制。包括zf,mmse,zf-sic,mmse-sic-Space detection .Modulation of16qam.including zf,mmse,zf-sic,mmse-sic
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
bpsk
- MIMO 大规模MIMO 和六个detector 去检测 性能好坏BER-MIMO massive MIMO with six detectors. ZF MMSE ZF-SIC MMSE-SIC ZF-OSIC MMSE-OSIC
qpsk
- MIMO 大规模 MIMO 编码 qpsk 检测器 6个 ber snr ZF MMSE SIC OSIC-MIMO massive MIMO with six detectors. ZF MMSE ZF-SIC MMSE-SIC ZF-OSIC MMSE-OSIC
sum_rate
- 基于MIMO的信道容量sum rate的计算，基于MMSE、ZF、多项式、BF四种准则方法的计算过程，计算结果正确，内附说明文档-Channel capacity sum rate is calculated based on MIMO-based calculation MMSE, ZF, polynomial, BF four criteria method, calculation results correctly, enclosing documentation
BER-for-BPSK--ZF--ML-2-2
- mimo 2*2 ,采用BPSK调制，内含ZF，MMSE检测算法。-mimo 2* 2,using BPSK modulation, containing ZF, MMSE 1detection algorithm.
COMPARISION-OF-ZF-AND-MMSE
- zf和MMSE预均衡的比较，内含易懂的MATLAB代码。-Comparison of pre-equalization zf and MMSE, containing MATLAB code easy to understand.
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
Decision-Probability-Ordered-program
- MIMO系统线性检测算法误码率性能的脚本，ZF,ZF-SIC仿真及误码率检测-MIMO system bit error rate performance of linear detection algorithm scr ipt, including the MMSE, ZF, MF. Simply enter the number of receiving antennas, the number of transmit antennas.
MIMO检测
- MIMO中的ZF检测，MMSE检测，和QR分解，LTL分解，克罗克分解，及两种检测算法的误码率分析
BER_perf_4QAM_2x2MIMO
- 2x2MIMO的误码率性能仿真，比较了ML,ZF,MMSE,ZF-SIC,MMSE-SIC在4QAM下的性能曲线(The BER performance of 2x2MIMO is simulated, and the performance curves of ML, ZF, MMSE, ZF-SIC, and MMSE-SIC under 4QAM are compared)
BER_perf_4QAM_4x4MIMO
- 4x4MIMO的误码率性能仿真，比较了ML,ZF,MMSE,ZF-SIC,MMSE-SIC在4QAM下的性能曲线(The BER performance of 4x4MIMO is simulated, and the performance curves of ML, ZF, MMSE, ZF-SIC, and MMSE-SIC under 4QAM are compared)