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Subspace Projection Based Blind Channel Order
Estimation of MIMO Systems
m file for a classical channel order estimation method -Subspace Projection Based Blind Channel OrderEstimation of MIMO Systemsm file for a classical channel order estima
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基于二阶和高阶统计量的MIMO系统盲信道估计，可完美进行信道估计，进行误码率及误差分析等。-Based on second-order and higher-order statistics of the MIMO system, blind channel estimation can be the perfect channel estimation carried out for the bit error rate and error analysis.
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基于二发二收MIMO系统的半盲信道估计，其中main为主程序，其它为子程序-Second, land-based MIMO system made of two semi-blind channel estimation, in which main-based process for the subroutine other
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对一个使用了线性时空编码的多输入多输出系统的盲信道估计-Blind Channel estimation for MIMO systems using Linear Space time codes
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MIMO-OFDM系统半盲信道估计算法的一篇transaction文章，和大家一起分享。-Semi-blind MIMO-OFDM system channel estimation algorithm for transaction an article to share with everyone.
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Blind Channel Estimation for MIMO-OFDM Systems
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在多径分量数确定的前提下,MIMO-OFDM系统采用传统的基于导频辅助和盲信道估计算法能获得较好性能。实际无线环境中,多径分量数目与幅度都是时变的,则传统信道估计方法不再适用。该文采用随机集理论建模MIMO-OFDM系统信道多径分量数的变化和MIMO信道。基于此模型提出了集中粒子空间重采样方法(CRS),在保留大概率粒子抽样样本的同时主动抛弃小概率抽样样本,以获得更为准确的真实样本逼近。并提出了基于集中重采样Rao-Blackwellised粒子滤波的信道估计方法(RBPFC)。仿真结果表明:所
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MIMO-OFDM系统子空间法进行盲信道估计，可更改循环前缀长度以比较不同CP对估计性能的影响。-subspace method for blind channel estimation for MIMO-OFDM system. One can change the length of cyclic prefix in order to compare the performance of different CP impact on the estimates.
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Blind Channel Estimation Enhancement for Mimo-OFDM Systems under High Mobility Conditions-Blind Channel Estimation Enhancement for Mimo- OFDM Systems under High Mobility Conditions
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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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本文介绍一种基于盲的信道估计方法，具有一定参考价值(BLIND CHANNEL ESTIMATION ENHANCEMENT FOR MIMO- OFDM SYSTEMS UNDER HIGH MOBILITY CONDITIONS)
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