搜索资源列表
mimo-different-detection
- 此代码展示了在mimo系统中分别用ML MMSE ZF和MMSE-SIC检测算法的不同误码率曲线-This code shows the mimo system respectively ML MMSE ZF and MMSE-SIC detection algorithm different BER curves
ML-detector
- ml detection code for MIMO system
ML.m
- Maximum likelihood receiver for MIMO spatial multiplexing system
mimo
- 仿真不同MIMO接收机算法的误码率，包括MMSE、ML、迫零法-MIMO receiver algorithms for simulation of different BER, including MMSE, ML, zero forcing
ML-equalization-in-MIMO
- 在平稳瑞利多径信道下，用BPSK调制，用matlab 仿真由最大似然译码的性能。-It discuss a receiver structure called Maximum Likelihood (ML) decoding which gives us a better performance. We will assume that the channel is a flat fading Rayleigh multipath channel and the modulation is BP
MIMO
- 在matlab的环境下，实现MIMO检测功能，包括最大似然检测（ML），最小均方误差（MMSE）检测和迫零（ZF）检测-In the matlab environment, to achieve MIMO detection, including maximum likelihood detection (ML), minimum mean square error (MMSE) detection and zero-forcing (ZF) detection
mimo-detection-
- 实现mimo的zf mmse 和ml检测算法的代码，并有针对信道已知和未知的多路径通信-realization of ZF MMSE and ML detection for MIMO. And multiple-path communication with channel known and unkonwn
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.
MIMO
- 仿真2*2MIMO通信系统ML、ZF、MMSE检测算法性能，给出三种检测算法的误比特率。-Multi-input multi-output (mimo) communication system simulation 2* 2 ML, ZF and MMSE detection algorithm performance, the bit error rate of three detection algorithms is given.
MiMOOfdm
- STBC OFDM (included ML MAP estimation),Alamouti_FD, CIR_estimation, Tx_data_signal_generator_Alamouti_FD
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)
ML_detection_Matlab
- 关于MIMO-OFDM的信号检测方法，ML检测(Signal detection method for MIMO-OFDM, ML detection)
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).
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)
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)