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Semiblind Channel Estimation and Precoding Scheme in Two-Way Multirelay Networks

机译:双向多中继网络中的半盲信道估计和预编码方案

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摘要

A low-complexity precoding scheme and semiblind channel estimation method are proposed for amplify-and-forward two-way relay networks with multiple relays and frequency-selective fading channels. In the proposed approach, precoding is performed using a rotation-based matrix and the composite channel impulse response of each source-relay-destination link is estimated based on the second-order statistics of the received signals. The ambiguity in the proposed channel estimates caused by the channel information of the direct link is eliminated using a small number of training blocks. The accuracy of the proposed semiblind channel estimates is examined by deriving the mean square error of the channel estimates for two asymptotic cases, namely an infinite number of data blocks and a high signal-to-noise ratio (SNR) regime. The two cases, thus, provide a useful insight into the effects on the estimation performance of imperfect direct link information and statistical errors of the ensemble correlations, respectively. The asymptotic analyses are confirmed by the simulation results, which show that the normalized mean square error of the channel estimates varies inversely with the SNR and the number of data blocks.
机译:针对具有多个中继和选频衰落信道的双向放大中继网络,提出了一种低复杂度的预编码方案和半盲信道估计方法。在所提出的方法中,使用基于旋转的矩阵执行预编码,并且基于接收信号的二阶统计量来估计每个源-中继-目的地链路的复合信道冲激响应。使用少量训练块可以消除由直接链路的信道信息引起的建议信道估计中的歧义。通过推导两种渐近情况(即无限个数据块和高信噪比(SNR)情况)下信道估计的均方误差,可以检验提出的半盲信道估计的准确性。因此,这两种情况分别提供了对不完善的直接链接信息的估计性能和整体相关性的统计误差的影响的有用见解。仿真结果证实了渐近分析,仿真结果表明,信道估计的归一化均方误差与SNR和数据块数量成反比。

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