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Semi-blind Channel Estimation for MIMO-OFDM Systems Based on Received Signal Reconstruction

机译:基于接收信号重建的MIMO-OFDM系统半盲信道估计

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Blind channel estimation for MIMO-OFDM systems was discussed, and a subspace based blind channel estimation algorithm by re-constructing the received signal and its simplified one were proposed. The algorithm changed the channel matrix of the transfer function into a block Toeplitz high matrix exploiting OFDM cyclic prefix, and the channel estimation characteristic equation was obtained with the orthogonality between the signal subspace and the noise subspace of the reconstructed signal. In order to eliminate the influence of virtual carriers, the singular value decomposition of the equivalent transmit signal was imported. The simplified algorithm exploited a QR decomposition and Gram-Schmidt orthogonalization process aiming at reducing the complexity of obtaining the noise subspace. Simulation results illustrate the performance of the proposed algorithm via numerical experiments compared with the other one, and it's insensitive to overestimates of the true channel order.
机译:讨论了MIMO-OFDM系统的盲信道估计,并提出了通过重新构建接收信号及其简化的盲信道估计算法的子空间。 该算法将传送函数的信道矩阵改变为块Toeplitz高矩阵利用DDM循环前缀,并且通过信号子空间与重建信号的噪声子空间之间的正交性获得信道估计特性方程。 为了消除虚拟载波的影响,导入了等效发射信号的奇异值分解。 简化算法利用了QR分解和克施密特正交化过程,旨在降低获得噪声子空间的复杂性。 仿真结果说明了与另一个相比的数值实验的所提出的算法的性能,并且对真正信道顺序的高估不敏感。

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