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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
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本文对MIMO技术中的信道估计、空时编码和单载波频域均衡技术（SC-FDE）及其在FPGA上的实现进行了深入的研究-In this paper, MIMO channel estimation techniques, space-time coding and single-carrier frequency domain equalization (SC-FDE) and its implementation on FPGA-depth study carried out
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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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SVM Multiregression for Non Linear
Channel Estimation in Multiple-Input
Multiple-Output Systems
在多输入多输出系统中的SVM多元回归非线性逼近-This paper addresses the problem of Multiple-Input Multiple-Output (MIMO) frequency non-selective
channel estimation. We d
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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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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
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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
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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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包括广义互相关函数GCC时延估计，可以得到很精确的幅值、频率、相位估计，MIMO OFDM matlab仿真,一个很有用的程序，在matlab环境中自动识别连通区域的大小,包括回归分析和概率统计。- Including the generalized cross-correlation function GCC time delay estimation, You can get a very accurate amplitude, frequency, phase estimation, MI
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采用热核构造权重，包含优化类的几个简单示例程序，可以得到很精确的幅值、频率、相位估计，MIMO OFDM matlab仿真,基于分段非线性权重值的Pso算法，对HARQ系统的吞吐量分析。-Thermonuclear using weighting factors Optimization class contains several simple sample programs, You can get a very accurate amplitude, frequency, phase es
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供做算法研究人员参考，可以得到很精确的幅值、频率、相位估计，MIMO OFDM matlab仿真,D-S证据理论数据融合，可以实现模式识别领域的数据的分类及回归，数值分析的EULER法，能量熵的计算，本程序的性能已经超过其他算法。- Algorithm for researchers to do reference, You can get a very accurate amplitude, frequency, phase estimation, MIMO OFDM matlab simul
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实现了对10个数字音的识别，MIMO OFDM matlab仿真,这是一个好用的频偏估计算法的matlab仿真程序。- To achieve the recognition of 10 digital sound, MIMO OFDM matlab simulation, This is a useful frequency estimation algorithm matlab simulation program.
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Channel Estimation and Data Equalization in Frequency-Selective MIMO Systems with One-Bit Quantization
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the effects of neural
network aided estimation in such receivers are considered. Neural
network acts as a pre-processing block to the estimator.-Orthogonal frequency division multiplexing (OFDM) has
high data rate capacity and lower Inter Symbo
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包括四元数的各种计算,这是一个好用的频偏估计算法的matlab仿真程序,MIMO OFDM matlab仿真。- Including quaternion various calculations, This is a useful frequency estimation algorithm matlab simulation program, MIMO OFDM matlab simulation.
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文章介绍了自适应均衡技术在MIMO OFDM系统中的应用研究。-In this paper, an adaptive channel
estimation for MIMO OFDM is proposed. A set of pilot
tones first are placed in each OFDM block, then the
channel frequency response of these pilot tones are
adaptively estimat
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插值与拟合的matlab实现，MIMO OFDM matlab仿真,这是一个好用的频偏估计算法的matlab仿真程序。- Interpolation and fitting matlab implementation, MIMO OFDM matlab simulation, This is a useful frequency estimation algorithm matlab simulation program.
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You can get a very accurate amplitude, frequency, phase estimation, Including Deng's correlation, absolute correlation, correlation of slope, improved absolute correlation, Since writing the curvature calculation function.
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In this paper, we investigate blind channel estimation for Multiple Input Multiple Output (MIMO) multi-carrier
CDMA (MC-CDMA) systems in the uplink scenario. An Autocorrelation Contribution Matrix (ACM) method is proposed in
comparison with the sub
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