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5-files
- It contains 4 matlab codes for ZF,MMSE,ML equalizer for MIMO systems and 1 document based on linear detector for MIMO system
MIMO_ofdm
- 网上搜的关于MIMO-OFDM同步技术的文章和一个ML的MATLAB代码，希望对大家有用！-something about MIMO OFDM ，I wish can help you！
MIMO_Homework
- Matlab code to perform MIMO ZF, MMSE, VBLAST and ML Decoding
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)
tankai_v68
- PSS primary synchronization signal in the time domain simulation related, MIMO OFDM matlab simulation, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
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).
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