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Channel estimation for OFDM systems using superimposed training

机译:使用叠加训练的OFDM系统的信道估计

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摘要

Superimposed training has raised lots of attentions due to its great spectral efficiency and its relatively fast channel estimation algorithms. In this paper, we present channel estimation methods for OFDM system using periodic superimposed training added in frequency domain. At the receiver, channel estimation is done both in time domain (pre-FFT) and frequency domain (post-FFT). In addition, we prove that the estimation is MMSE solution. Simulations show that those methods are effective especially when SNR is lower.
机译:叠加训练由于其出色的频谱效率和相对较快的信道估计算法而备受关注。在本文中,我们提出了在频域中使用周期性叠加训练的OFDM系统信道估计方法。在接收机处,在时域(FFT前)和频域(FFT后)中都进行信道估计。另外,我们证明了估计是MMSE解。仿真表明,这些方法特别有效,特别是在信噪比较低时。

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