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MIMO_OFDMdexingdaoguji
- 多天线输入多输出技术正交频分复用技术结合,利用matlab仿真其不同信道估计-multi-antenna MIMO technology Orthogonal Frequency Division Multiplexing combination Matlab simulation using different channel estimation
MIMO_OFDM
- 基于期望最大化(EM)的最大后验信道估计算法(MAP)在高信噪比(SNR)下将很难获得较低的估计误差,并且,对于导频辅助的MIMO-OFDM系统,OFDM符号的数据传输效率随着发送天线的增加而明显下降.为改善这两种缺陷,引入一种等效的信号模型来改善高SNR下的估计性能 在相邻多个OFDM符号内使用相移正交导频序列和联合估计来提高系统的数据传输效率和估计性能 根据角域内信道间的独立性来减小噪声对估计的影响.通过仿真实验可知,所提算法具有更小的估计误差和更高的数据传输效率.-Maximum a po
123
- 针对MIMO-OFDM系统中期望最大化(EM)信道估计算法在高信噪比(SNR)下带来的误差地板(EF)现象,且OFDM符号的数据传输效率随发射天线数的增加而明显降低,提出一种改进的高效EM信道估计算法。该算法首先引入一种准确的等效信号模型并推导出一种修正的EM算法,改善了EM算法在高SNR下的性能 在多个OFDM间利用相位正交导频序列来提高数据传输效率,同时进行联合信道估计以提高估计性能。仿真实验验证了所提算法具有更高的信道估计性能和更高的数据传输效率。-For multiple-input m
05441004
- Multiple input multiple output techniques combined with orthogonal frequency division multiplexing (MIMO-OFDM) provide a promising approach for wireless systems. However, a serious drawback of the OFDM system is the high peak-toaverage power
FirstFollow
- Multiple input multiple output techniques combined with orthogonal frequency division multiplexing (MIMO-OFDM) provide a promising approach for wireless systems. However, a serious drawback of the OFDM system is the high peak-toaverage power
LDPC_matlabcode123
- the use of coherent space-frequency coding in orthogonal frequency division multiplexing (OFDM)-based frequency-selective multiple-input multiple-output (MIMO) antenna fading channels has been proposed. Acquiring knowledge of the fading coefficients
Blind-Frequency-Syn
- 一种关于MIMO-OFDM系统盲频率同步的资料文档，用MATLAB进行仿真分析-A novel blind carrier frequency offset (CFO) estimation algorithm was proposed which is based on estimating signal parameter via rotational invariance techniques (ESPRIT) for multi-input multi-output o
fwdmalawmc
- Abstract—In this paper, we study the joint estimation of inphase and quadrature-phase (I/Q) imbalance, carrier frequency offset (CFO), and channel response for multiple-input multipleoutput (MIMO) orthogonal frequency division multiplexing (O
matlabcodeandbasepaper
- Abstract—In this paper, we study the joint estimation of inphase and quadrature-phase (I/Q) imbalance, carrier frequency offset (CFO), and channel response for multiple-input multipleoutput (MIMO) orthogonal frequency division multiplexing (O
mmse
- 基于mmse的多用户mimo系统检测算法，空分复用多用户多输入多输出(MIMO)系统具有很高的频谱利用率，由于其系统结构和所处的信道环境的复杂-The spatial division multiplexing multi-user multiple-input multiple-output(MIMO)system has very high spectrum efficiency．However，its system structure and complexity of the cha
mimo_multiplexing
- mimo multiplexing technigues
MIMO-OFDM
- 在MIMO2*2的无线信道环境下，运用OFDM(Orthogonal Frequency Division Multiplexing)即正交频分复用技术，发送信号，经过奇异值分解预编码，调制，在接收端解调，均衡，最终等到估计信号，并计算了整个系统的误码率；-In the wireless channel environment MIMO2* 2, the use of OFDM (Orthogonal Frequency Division Multiplexing) that is an ort
17_A-Spatial-Multiplexing-Technique_PIMRC03
- MIMO MULTIPLE INPUT MULTIPLE OUTPUT
MIMO-OFDM
- 整个MIMO-OFDM的完整系统，包括发射端和接收端。多输入多输出的正交频分复用系统-Complete the entire MIMO-OFDM system, including transmitter and receiver. Multiple input multiple output orthogonal frequency division multiplexing system
MIMO-performance
- MU-MIMO is widely considered a key technology for system capacity improvement in modern wireless networks. In contrast to SU-MIMO, where the spatial multiplexing gain is confined to a single user, MU-MIMO allows multiple users to be co-sche
MIMO-I--Spatial-Multiplexing-and-Channel-Modeling
- This an excellent material on MIMO spatial Multiplexing and Channel modeling, showing different ways to modeling MIMO channel.-This is an excellent material on MIMO spatial Multiplexing and Channel modeling, showing different ways to modeling MIMO ch
MIMOBeamformingExample
- 这个例子展示了如何用波束形成来模拟点对点MIMO-OFDM系统。多输入多输出（MIMO）组合和正交频分复用（OFDM）技术已在最近的无线标准的采用，如802.11X，提供更高的数据传输速率。由于MIMO采用天线阵，波束形成可以提高接收信噪比，进而降低误码率。(This examples shows how to model a point-to-point MIMO-OFDM system with beamforming. The combination of multiple-input-m
Diverse-Spectrum-Spatial-Multiplexing-master
- 多输入多输出MIMO STBC MATLAB仿真(Multi input and multi output MIMO STBC MATLAB simulation)
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).
MIMO_OFDM_IM
- 这是关于多输入多输出正交频分复用索引的代码(Multiple input multiple output orthogonal frequency division multiplexing index modulation simulation code)