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Wideband massive MIMO OFDM uplink channel estimation with specific partial-DFT transform

机译:特定部分DFT变换的宽带大规模MIMO OFDM上行链路信道估计

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We propose a new approach to apply the specific partial discrete Fourier transform (SPDFT) technique for channel estimation in wideband massive multiple-input multiple-output (MIMO) systems employing orthogonal frequency division multiplexing (OFDM) to reduce the pilot overhead and to enhance the estimation accuracy. Based on a physically motivated channel model, our approach verify that some parts of the frequency domain information on subcarriers are enough to obtain the nonzero part of channel state information on delay domain during a coherence time period. Then the channel state information on delay-domain are constructed and the whole channel state information on frequency domain are recovered. The simulation results demonstrate the proposed SPDFT scheme can provide a better spectral efficiency or a better estimation accuracy with different strategies of pilot scheduling than the conventional DFT scheme.
机译:我们提出了一种新方法,将特定的部分离散傅立叶变换(SPDFT)技术应用于采用正交频分复用(OFDM)的宽带大规模多输入多输出(MIMO)系统中的信道估计,以减少导频开销并增强估计精度。基于物理激励的信道模型,我们的方法验证了在相干时间段内,子载波上的频域信息的某些部分足以获得延迟域上的信道状态信息的非零部分。然后构造有关延迟域的信道状态信息,并恢复整个有关频域的信道状态信息。仿真结果表明,与传统的DFT方案相比,采用不同的导频调度策略,所提出的SPDFT方案可以提供更好的频谱效率或更好的估计精度。

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