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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
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信道描述，计算冲激响应函数，为频选衰落信道，用于MIMO或ＭＩＭＯ－ＯＦＤＭ系统-Channel descr iption, calculation of impulse response function, for Frequency-Selective Fading Channels for MIMO or MIMO-OFDM system
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Multiple Input Multiple Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM) Gaussien
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OFDM系统的MIMO仿真，在MATLAB 构建仿真平台，可对MIMO-OFDM技术进行比较全面的检测-Is a complete classic multi-input multi-output orthogonal frequency division multiplexing of the joint simulation, and simulate the system using MATLAB, including one on the whole process, there are
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MIMO Othogonal Frequency Division Modulation
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Error Performance of Ultrawideband MIMO
Spatial Multiplexing Systems
Abstract—Multiple-input multiple-output spatial multiplexing
(MIMO-SM) ultrawideband (UWB) systems with orthogonal
frequency division multiplexing (OFDM) signaling are devel
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A Rate-one Full-diversity Low-complexity
Space-Time-Frequency Block Code (STFBC) for
4-Tx MIMO-OFDM
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Iterative receiver techniques, multiple-input – multiple-output (MIMO) processing, and
orthogonal frequency division multiplexing (OFDM) are amongst the key physical layer
technologies when aiming at higher spectral efficiency for a wireless comm
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Designing spectral e±cient, high-speed wireless links that o® er high quality-
of-service and range capability has been a critical research and engineering chal-
lenge. In this thesis, we mainly address the complexity and performance issues o
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As a multi-carrier modulation scheme, Orthogonal Frequency Division Multiplexing (OFDM)
technique can achieve high data rate in frequency-selective fading channels by splitting a
broadband signal into a number of narrowband signals over a number
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Multiple—input multiple—output(MIMO)wireless technology in combination with orthogonal
frequency division multiplexing(OFDM)is all attractive air—interface solution for next—generation wideband
wireless networks．This paper provides all overview o
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多天线正交频分复用(MIMO-OFDM,Multiple-Input and Multiple-Output Orthogonal Frequency Division Multiplex)系统中,精确的符号定时同步可使接收端解调数据时消除载波频率偏移和符号间干扰。而由于MIMO空间信道复杂度较高,使得单天线OFDM系统的同步方法不能直接应用于MIMO-OFDM系统中。提出的两步同步方法首先利用时域导频作为第一步同步进行粗同步,然后利用循环交织前缀作为第二步同步对每一个MIMO-OFDM符号进行
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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
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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
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MIMO OFDM 技术将成为第4 代移动通信系统的关键技术, 因MIMO OFDM 对时间和频率偏移非常敏感,
因此MIMO OFDM 同步显得尤为重要。提出了一种新的MIMO OFDM 定时同步和频偏同步技术。以GCL 序列为基础设
计了一个新的符合MIMO OFDM 同步技术的导频序列, 通过对该导频序列进行2 次相关得到频率估计, 并将所得频率
运用到定时同步中, 得到更为准确的时间估计
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MIMO-OFDM This contains 70 .m files for a complete simulation of a MIMO-OFDM channel. including pilot aided channel estimation, coding, MRC and frequency synchronization.It uses Jack rayleigh channel model
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In high-data-rate wireless systems focus on the integration of orthogonal frequency-divisionmultiplexing (OFDM), multiple-inputmultiple-output (MIMO) and closed-loop techniques
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MIMO-OFDM系统中基于SFBC空频分组码的误码率仿真曲线，接收端采取ZF,OSIC等相应的检测算法-The simulation curve error SFBC space frequency block code rate based on the MIMO-OFDM system, the receiving end to take ZF, corresponding detection algorithm OSIC
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在不同的信道下（如频率选择性信道和非频率选择性信道）mimo-ofdm的性能(Performance of MIMO-OFDM under different channels (such as frequency selective channels and non frequency selective channels))
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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)
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