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首页> 外文期刊>Optical engineering >Channel estimation by tensor-based noise compensation for relay-assisted multiple-input multiple-output and orthogonal frequency division multiplexing indoor visible light communication system
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Channel estimation by tensor-based noise compensation for relay-assisted multiple-input multiple-output and orthogonal frequency division multiplexing indoor visible light communication system

机译：基于张量的噪声补偿的中继辅助多输入多输出正交频分复用室内可见光通信系统信道估计

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摘要

For channel estimation in the relay-assisted multiple-input multiple-output and orthogonal frequency division multiplexing indoor visible light communication (VLC) system affected by light source, there is a problem that the received signal cannot be separated by simple filtering. To solve this problem, a channel estimation by PARATUCK2-PARAFAC-based noise compensation which introduces tensors to construct the suitable model of VLC is proposed. First, the transmitting pilots for channel estimation and noise estimation are constructed separately with the Hermitian symmetry structure. Then the tensor-based transmission model of the indoor VLC system is established, and the signals for channel and noise estimations are received. Finally, an asymptotic estimation for separating signals from different sources and noise is proposed by PARATUCK2-PARAFAC. Simulation results show that the proposed algorithm provides a more effective scheme for channel estimation Comparing With the state-of-the-art algorithms.
机译：对于受光源影响的中继辅助多输入多输出正交频分复用室内可见光通信（VLC）系统中的信道估计，存在无法通过简单的滤波来分离接收信号的问题。为了解决这个问题，提出了一种基于基于PARATUCK2-PARAFAC的噪声补偿的信道估计方法，该方法引入了张量以构建合适的VLC模型。首先，利用埃尔米特对称结构分别构造用于信道估计和噪声估计的发射导频。然后建立室内VLC系统的基于张量的传输模型，并接收用于信道和噪声估计的信号。最后，由PARATUCK2-PARAFAC提出了一种渐近估计，用于分离来自不同源和噪声的信号。仿真结果表明，与现有算法相比，该算法为信道估计提供了更为有效的方案。

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