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matlab中不同信道估计的对比,对学习通信专业的学生很有帮助，主要介绍的是MIMO-OFDM系统下的信道估计。-matlab in the comparison of different channel estimation
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本文提出了一种无需信道估计的分布式MIMO差分编码及检测方法。-This paper presents a distributed channel estimation without differential encoding and detection method for MIMO.
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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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MIMO-OFDM系统的matlab程序，包括QPSK调制解调、IFFT调制、空时编解码、基于训练符号的信道估计等通信模块-Matlab MIMO-OFDM system procedures, including QPSK modulation and demodulation, IFFT modulation, space-time coding and decoding, symbol-based channel estimation training and other communic
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It the document on pdf having the channel estimation in mimo ofdm systems.describing all MIMO,OFDM,Channel estimation
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MIMO-OFDM系统中不同信道估计的对比程序-MIMO-OFDM system comparison of different channel estimation procedures
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mmse channek estimation for mimo ofdm systems
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A channel estimation algorithm for MIMO-SCFDE
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MIMO下的自适应信道估计，适用于实际信道的仿真-Adaptive channel estimation in MIMO, applicable to the simulation of the actual channel
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这是用SIMULINK的S-FUNCTION方式编写的系统仿真代码，系统是基于4G网络的核心技术空时分组编码的MIMO-OFDM通信系统的，涉及到空间分集、时间分集和频率分集的有机结合，包括QPSK调制解调、IFFT调制、控制编解码、基于训练符号的信道估计等通信模块。包括main_STBC_MIMO_OFDM和training_symbol两个M文件和一个DOC文件，对各部分的都有详细的代码和注释。-It is used SIMULINK the S-FUNCTION approach to t
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MIMO-OFDM基于卡拉曼滤波的信道估计算法，附带多普勒信道建模和算法程序-MIMO-OFDM Karaman filtering based channel estimation algorithm, incidental the Doppler channel modeling and algorithm
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Matlab implementation of MIMO-OFDM channel estimation-LS and DFT channel estimation
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无线信道估计：基于mimo和ofdm信道估计理论，算法。包括
MIMO衰落信道的测量和建模方法；
MIMO信道容量的分析；
基于MIMO的空时编/解码方法；
基于MIMO的接收机关键技术，如信道估计、均衡、多用户检测等。
-Radio channel estimation: theory, algorithms based mimo ofdm channel estimation. Include
MIMO fading channel measurement and m
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channel estimation based on MIMO-OFDm is a promising technology that will provide the high datarates , increased capacity, spectral efficiency and reliability that is required for a more efficient wireless communication.
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compressed sensing channel estimation
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Efficient MIMO Channel Estimation With Optimal
Training Sequence
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Performance comparison of RLS and LMS channel estimation techniques with optimum training sequences for MIMO-OFDM systems
Performance comparison of RLS and LMS channel estimation techniques with optimum training sequences for MIMO-OFDM systems
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Abstract—Diagonal Bell Laboratories Layered Space-Time (DBLAST)
structure offers a low complexity solution to realize the
attractive capacity of Multiple-input and multiple-output (MIMO)
systems. In this paper, we apply D-BLAST in orthogonal fr
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Frequency-domain channel estimation and MIMO Detection doc file
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Matlab code for the least square error channel estimation and Minimum Mean Square channele estimation for a MIMO OFDM system. simulation result is compared with theory.-Matlab code for the least square error channel estimation and Minimum Mean Squa
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