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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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mimo信道容量的matlab的分析m imo信道容量的matlab的分析mimo信道容量的matlab的分析-MIMO channel matlab
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This paper deals with the capacity behavior of wireless Orthogonal Frequency Division Multiplexing
(OFDM)-based spatial multiplexing system when considering realistic channel delay profiles.
In both the SISO and the MIMO contexts, we compare the
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Freescale关于3GPP LTE PHY层的说明，包括OFDM、MIMO等内容。-This technical white paper provides an overview of the LTE physical layer(PHY), including technologies that are new to cellular such as Orthogonal Frequency Division Multiplexing (OFDM) and Multiple Input M
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This examples corresponds to a 2x2 system with parallel linear arrays, where the mobile moves aways from the base station,
with a constant speed such that the Maximum Doppler frequency is 5 Hz. The element spacings at the base station and mobile a
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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频率选择性信道自适应均衡，有matlab源码-MIMO frequency selective channel adaptive equalizer
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Pre-DFT Processing for MIMO-OFDM
Systems with Space-Time-Frequency Coding
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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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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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A multiple-input multiple-output (MIMO) communication system combined with the orthogonal frequency division multiplexing (OFDM) modulation technique can achieve reliable
high data rate transmission over broadband wireless channels. Channel state i
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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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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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windows mimo ofdm some information
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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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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
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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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正交频分复用，最小均方误差信道估计算法。-Orthogonal frequency division multiplexing, minimum mean square error channel estimation algorithm.
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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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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
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