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基于子空间算法的ofdm系统半盲估计，希望对信道估计的同仁有帮助！-subspace algorithm based on the semi-blind system ofdm estimate, and I hope to channel estimation colleagues help!
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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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基于子空间的OFDM系统半盲信道估计,是IEEE上的经典文章,请同学们相交流.-Subspace-based blind and semi-blind channel estimation for OFDMsystems(120,2002
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ofdm的一种盲信道估计方法：子空间盲信道估计方法-ofdm a blind channel estimation methods: the subspace blind channel estimation methods
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对于多输入多输出系统, 传统的基于训练序列的信道辨识方法为跟踪信道的变化, 必须
发送大量冗余信息, 传输效率较低 而基于子空间的纯盲方法又带有不可避免的模糊性, 辨识结果
精度不够。在子空间法的基础上, 利用少量训练符号估计出模糊矩阵, 以此矫正子空间法得到的结
果。仿真结果显示: 在保证辨识精度的前提下, 该方法减少了训练符号等冗余, 提高了传输效率。-In o rder to t rack the channel variat ion of MIMO OFDM
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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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A subspace-based blind method is proposed for estimating
the channel responses of a multiuser and multiantenna orthogonal
frequency division multiplexing (OFDM) uplink system.
It gives estimations to all channel responses subject to a scalar ma
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