搜索资源列表
MIMO-OFDM2×2空间复用信道MATLAB仿真模型
- 空间复用空时码的仿真程序，天线配置为2发2收。mainMIMO_OFDMA_2Tx.m: 主程序，设置各种参数 gendata_2Tx_SM.m: 生成原始信息数据的程序 mod_2Tx_SM_DFUSC.m：调制程序 gen_SUI_CorrCIR.m: 生成信道冲击响应的程序 get_perfectCE_2x2.m: 生成理想信道估计值的程序 chanSUI_corr_2x2.m: 发送信号通过SUI信道的程序 addAWGN_2x2.m: 添加高斯白噪声的程序 dem_DFU
scfde.zip
- 单载波频域均衡SCFDE的MATLAB源码，包括迫零均衡和MMSE均衡,Single-carrier frequency domain equalization SCFDE the MATLAB source code, including zero forcing and MMSE balanced balanced
MU_MIMO
- 多用户MIMO算法仿真，包括BD,ZF,MMSE等-multiuser MIMO simulation
mimo_bpsk_rayleigh_channel
- MIMO检测算法ML，ZF，MMSE等。采用BPSK调制，平坦瑞利信道-MIMO detection algorithm ML, ZF, MMSE, etc. Using BPSK modulation, flat Rayleigh channel
mimo_channel_estimation
- MIMO-OFDM系统基于MMSE的信道估计算法，为了解MIMO-OFDM信道估计问题的提供一些入门帮助。-MMSE-based MIMO-OFDM system channel estimation algorithm for MIMO-OFDM understand the problem of channel estimation to provide some help getting started.
subspace_mimo
- 衰落信道下的盲估计研究\MIMO-OFDM,mimo子空间仿真程序-ofdm
Alamouti
- 用matlab编程实现MIMO中Alamouti算法，2个发射天线2个接收天线-fullfill Alamouti algorithm in MIMO(2X2) using matlab
try6
- 使用BPSK調變在Rayleigh fading channel with 2 Tx, 2Rx MIMO channel 利用MMSE 等化器的方法 對於研究了解 MIMO 是一個很重要的模擬，非常實用- scr ipt for computing the BER for BPSK modulation in a Rayleigh fading channel with 2 Tx, 2Rx MIMO channel Minimum Mean Square Error equa
V-BLASTSystem
- 本程序是对V-BLAST系统及其检测算法的仿真，可采用BPSK,QPSK,16QAM,64QAM调制。检测算法为ML，MMSE,ZF,以及采用迫零的连续干扰消除检测算法。-This program is a V-BLAST system and its detection algorithm of the simulation, can be used BPSK, QPSK, 16QAM, 64QAM modulation. Detection algorithm for the ML, MMS
simulation_MMSE
- MMSE-SA aided synchronized SDMA-ofdm multiuser detection
zf_mmse
- MIMO预编码，线性zf,mmse预编码性能比较-MIMO pre-coding, linear zf, mmse Performance Comparison of precoding
mmse-channel-estimation-for-mimo-ofdm
- mmse channek estimation for mimo ofdm systems
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
MIMO-master
- 低复杂度的MIMO检测算法,线性检测算法的一种(It is about MIMO detection, include precoding,Transmitter,Channel and Noise and Receiver)
MMSE
- Detection with MMSE in MIMO systems
MIMO和Massive MIMO信号检测算法仿真程序
- 本资源中包含了三种线性信号检测算法MRC,ZF,MMSE和非线性信号检测算法ZF-SIC,MMSE-SIC。分别在传统mimo和Massive MIMO系统中进行仿真，分别给出了信噪比-误码率曲线和误码率-接收天线数曲线(MIMO signal detection algorithm)
Channel estimation LS MMSE
- MIMO OFDM CHANNEL ESTIMATION
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)
基于压缩感知的MIMO信道估计算法
- 基于压缩感知的MIMO信道估计算法，使用了CoSaMP算法，GBP算法，OMP算法，CE算法，还有ls信道估计算法，MMSE算法，MIMO信道模型，等很全面(Compressed sensing based MIMO channel estimation algorithm, using CoSaMP algorithm, GBP algorithm, OMP algorithm, CE algorithm, and ls channel estimation algorithm, MMSE a
mu_mimo_molly
- Application of linear precoding schemes, ZF, MMSE, MRT in Massive MIMO