大规模MIMO系统中导污染的抑制

David Neumann, M. Joham, W. Utschick
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引用次数: 17

摘要

提出了一种新的信道估计方法,用于抑制大规模MIMO系统上行训练过程中的干扰。该方法利用接收到的上行数据来改进仅基于训练的估计器的估计。它基于最大后验准则,在估计精度和鲁棒性方面优于最先进的方法。我们进一步提出了一种简化的半盲方法。
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Suppression of pilot-contamination in massive MIMO systems
We propose a novel channel estimation method for suppression of interference during uplink training in massive MIMO systems. The method makes use of the received uplink data to improve upon the estimation of solely training based estimators. It is based on the maximum a-posteriori criterion and outperforms state-of-the-art methods in terms of estimation accuracy and robustness. We further propose a simplified semi-blind method.
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Unifying viewpoints on distributed asynchronous optimization for MISO interference channels Sparse channel estimation including the impact of the transceiver filters with application to OFDM Towards a principled approach to designing distributed MAC protocols Information rates employing 1-bit quantization and oversampling at the receiver Suppression of pilot-contamination in massive MIMO systems
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