这个可以成功运行，结果正确 ~~~~~~~~~~~~~~~~~`

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基于MIMO-OFDM的IT++仿真，集合了ZF,MMSE,ZF-SIC,MMSE-SIC,ML,STBC六种检测方式。

MIMO-OFDM仿真系统及其IT++实现

针对LED通信系统中信道估计性能低的问题，提出了将正交频分复用（OFDM）系统与多输入多输出（MIMO）技术相结合的可见光通信系统及其基于信噪比的自适应信道估计算法。通过对最小二乘法(LS)、最小均方误差(MMSE)、离散傅里叶变换改进最小二乘法(LS-DFT)、离散傅里叶变换改进最小均方误差(MMSE-DFT)以及分布式压缩感知同步正交匹配追踪（DCS-SOMP）5种信道估计方法的研究，确定了信噪比的临界阈值。当信噪比低于临界阈值时，采用MMSE-DFT算法进行信道估计；当信噪比高于临界阈值时，选用DCS-SOMP算法进行数据重构并恢复信道脉冲响应矩阵。仿真结果表明，当信噪比为1 dB~40 dB时, 所提算法的均方误差得到有效降低（2.95 dB~15 dB），且LED通信系统的通信质量得到提高。

MIMO-OFDM中双STBC译码算法的研究，张清，李立华，双STBC（Double-STBC）是空时分组编码（STBC）结构和垂直分层空时编码（V-BLAST）结构相结合的MIMO方案。STBC结构可以获得分集增益，可靠性��

主要代码借助一些其他功能模拟系统的BER性能

作者: Yong Soo Cho 目录 Preface. Limits of Liability and Disclaimer of Warranty of Software. 1 The Wireless Channel: Propagation and Fading. 1.1 Large-Scale Fading. 1.1.1 General Path Loss Model. 1.1.2 Okumura/Hata Model. 1.1.3 IEEE 802.16d Model. 1.2 Small-Scale Fading. 1.2.1 Parameters for Small-Scale Fading. 1.2.2 Time-Dispersive vs. Frequency-Dispersive Fading. 1.2.3 Statistical Characterization and Generation of Fading Channel. 2 SISO Channel Models. 2.1 Indoor Channel Models. 2.1.1 General Indoor Channel Models. 2.1.2 IEEE 802.11 Channel Model. 2.1.3 Saleh-Valenzuela (S-V) Channel Model. 2.1.4 UWB Channel Model. 2.2 Outdoor Channel Models. 2.2.1 FWGN Model. 2.2.2 Jakes Model. 2.2.3 Ray-Based Channel Model. 2.2.4 Frequency-Selective Fading Channel Model. 2.2.5 SUI Channel Model. 3 MIMO Channel Models. 3.1 Statistical MIMO Model. 3.1.1 Spatial Correlation. 3.1.2 PAS Model. 3.2 I-METRA MIMO Channel Model. 3.2.1 Statistical Model of Correlated MIMO Fading Channel. 3.2.2 Generation of Correlated MIMO Channel Coefficients. 3.2.3 I-METRA MIMO Channel Model. 3.2.4 3GPP MIMO Channel Model. 3.3 SCM MIMO Channel Model. 3.3.1 SCM Link-Level Channel Parameters. 3.3.2 SCM Link-Level Channel Modeling. 3.3.3 Spatial Correlation of Ray-Based Channel Model. 4 Introduction to OFDM. 4.1 Single-Carrier vs. Multi-Carrier Transmission. 4.1.1 Single-Carrier Transmission. 4.1.2 Multi-Carrier Transmission. 4.1.3 Single-Carrier vs. Multi-Carrier Transmission. 4.2 Basic Principle of OFDM. 4.2.1 OFDM Modulation and Demodulation. 4.2.2 OFDM Guard Interval. 4.2.3 OFDM Guard Band. 4.2.4 BER of OFDM Scheme. 4.2.5 Water-Filling Algorithm for Frequency-Domain Link Adaptation. 4.3 Coded OFDM. 4.4 OFDMA: Multiple Access Extensions of OFDM. 4.4.1 Resource Allocation – Subchannel Allocation Types. 4.4.2 Resource Allocation – Subchannelization. 4.5 Duplexing. 5 Synchronization for OFDM. 5.1 Effect of STO. 5.2 Effect of CFO. 5.2.1 Effect of Integer Carrier Frequency Offset (IFO). 5.2.2 Effect of Fraction

MIMO_OFDM-《MIMO-OFDM无线通信技术及MATLAB实现》的源代码

频率同步是MIMO-OFDM同步技术必须解决的问题之一,但是传统的基于ML算法的频率偏移估计条件要求苛刻,计算复杂,因此对CFO简单算法的探究势在必行。为此提出一种基于LS算法的频率偏移估计,并将其性能与基于ML的频率偏移估计的性能进行比较。仿真结果表明,LS算法性能等同于ML算法性能。基于LS算法的简单性和使用条件的低约束性,可使用LS算法获得和ML算法相同的频偏估计。