Abstract Visible light communication (VLC) is one of the promising technologies for future wireless communications and has attracted increasing research interest in recent years. In this paper, we propose an adaptive least squares (LS) channel estimation algorithm for VLC systems using the direct current biased optical orthogonal frequency division multiplexing (DCO-OFDM) scheme. The proposed algorithm is obtained by employing the tap detection that provides the maximum probability of correctly separating non-zero and zero-value channel taps, yielding significantly improved estimation performance. We prove that the Cramer–Rao lower bound of the proposed algorithm is lower than that of the conventional LS algorithm. Finally, numerical results demonstrate that the proposed algorithm achieves better performance in terms of the received constellation, mean squared error (MSE) and bit error rate (BER).

中文翻译：

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基于抽头检测的可见光通信自适应最小二乘信道估计

摘要 可见光通信（VLC）是未来无线通信中很有前景的技术之一，近年来引起了越来越多的研究兴趣。在本文中，我们为使用直流偏置光正交频分复用 (DCO-OFDM) 方案的 VLC 系统提出了一种自适应最小二乘 (LS) 信道估计算法。所提出的算法是通过采用抽头检测获得的，该抽头检测提供了正确分离非零和零值信道抽头的最大概率，从而显着提高了估计性能。我们证明了所提出算法的 Cramer-Rao 下界低于传统 LS 算法的下界。最后，数值结果表明，所提出的算法在接收星座方面取得了更好的性能，