搜索资源列表
VBLASTdetectors
- 一种常用空分复用的MIMO系统，v-blast系统的各种检测算法：ML，MMSE,ZF,以及采用迫零的连续干扰消除检测算法
MIMO_Equlaization
- MIMO系统的典型zf均衡器的算法C＋＋实现。brief ZF Equalizer, i.e. Matrix inversion and multiplication block, i.e. the solution of a linear equation system.
blastzf
- 一个2*2的mimo系统，发射端采用分层空时的VBLAST编码，信道为瑞利衰落加高斯百噪声，接收端采用zf接收，得到完美曲线。
ber_linear_detection
- MIMO系统线性检测算法误码率性能的脚本，包括MMSE, ZF，MF等。只需输入接受天线个数、发送天线个数即可。 -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_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)
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)
BER_perf_16QAM_2x2MIMO
- 2x2MIMO的误码率性能仿真，比较了ML,ZF,MMSE,ZF-SIC,MMSE-SIC在16QAM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 16QAM are compared)
BER_perf_16QAM_4x4MIMO
- 4x4MIMO的误码率性能仿真，比较了ML,ZF,MMSE,ZF-SIC,MMSE-SIC在16QAM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 16QAM are compared)
SFBC
- MIMO-OFDM using STBC, ZF MMSE equalizer
maindetection1
- MMSE与ZF准则下mimo接收检测算法(MIMO receiver detection algorithm under MMSE and ZF criteria)
QPSK-ALL
- 简单的MIMO模拟 假定QPSK，ML解码（SM ZF检测器除外）。 mrc.m - 最大比例组合 stc.m - 具有1和2个接收天线的Alamouti空时分组码 bf.m - 特征波束形成 sm.m - 空间复用2x2（ML解码和次优逼迫） 简单的OFDM仿真 模拟保护带，用于信道估计的循环前缀前导码符号(Simple MIMO simulations Assumes QPSK, ML decoding (except SM ZF detector).
MATLAB_ZF
- 大规模MIMO系统中混合精度ADC采用ZF接收机的仿真代码(Simulation Code on Mixed-ADC in a Massive MIMO System Using ZF Receiver)
多用户检测
- 主要实现了接收天线数量和发送天线数量可配的mimo系统多用户检测，分别采用ML，MMSE，ZF检测方法，得到性能比较曲线。(The multi-user detection of mimo system with the number of receiving antennas and the number of transmitting antennas is mainly realized. The performance comparison curve is obtained by us
MMMO
- MIMO 2 3系统ML和ZF检测的BER性能仿真(BER performance Simulation of ML and ZF Detection in MIMO 23 system)
codes for github
- 基本的线性预编码，包含MRT，ZF，RZF，MF预编码(basic linear precoding inclduing MRT,ZF,RZF,MF precoding)
大规模MIMO__detector
- 实现MIMO基本框架，并利用经典ZF ML算法进行检测，含图(Realize the basic framework of MIMO, and use the classical ZF ML algorithm to detect, including graphs)
低复杂度bd-zf及zf量化预编码
- 毫米波大规模MIMO系统中的低复杂度混合预编码和zf量化预编码以及zf全数字预编码系统效率比对
demo(1)
- MIMO系统预编码仿真，使用ZF、MMSE、SLNR、BD算法调试成功。(MIMO system precoding simulation, using ZF, MMSE, SLNR, BD algorithm debugging successfully.)
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