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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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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:由于其良好的光谱效率及其相对快速的信道估计算法,叠加训练引起了大量的关注。在本文中,我们使用频域中添加的周期叠加训练来提供OFDM系统的信道估计方法。在接收器处,信道估计在时域(Pre-FFT)和频域(POST-FFT)中进行。此外,我们证明估计是MMSE解决方案。仿真表明,当SNR较低时,这些方法都是有效的。

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