A General Orthogonal Transform Aided MIMO Design for Reliable Maritime Visible Light Communications

A General Orthogonal Transform Aided MIMO Design for Reliable Maritime Visible Light Communications
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用于可靠海上可见光通信的通用正交变换辅助 MIMO 设计

DOI:
10.1109/jlt.2020.3016662
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发表时间:
2020-12
影响因子:
4.7
通讯作者:
Guixun Huang;Lin Zhang;Yuan Jiang;Zhiqiang Wu
Guixun Huang;Lin Zhang;Yuan Jiang;Zhiqiang Wu
中科院分区:
工程技术2区
文献类型:
--
作者:
Guixun Huang;Lin Zhang;Yuan Jiang;Zhiqiang Wu

文献摘要

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在海上可见光通信(VLC)系统中,用户信息在分布在大气和水下环境中的不同终端之间传递。为了应对吸收、散射和湍流影响引起的复杂多变的海洋信道条件,在本文中,我们提出了一种通用正交变换(OT)辅助多输入多输出(MIMO)传输方案来增强传输可靠性性能。在我们的设计中,我们建议用 Hadamard 矩阵递归地构造正交变换矩阵。因此,我们可以利用正交矩阵中元素的重复性来扩大信号之间的欧几里得距离。此外,可以动态调整元素的值以适应随时间变化的信道条件。由于矩阵的正交性和奇异值分解(SVD),可以有效地抑制信号之间的干扰。因此,可以提高可靠性性能。此外,我们推导了所提出设计的理论符号错误率(SER)表达式。进行数值模拟以验证理论分析。此外,还研究了大气、水下和空气-水界面通道的不同水类型和风速下的SER性能,并与对应系统进行了比较。
In maritime visible light communication (VLC) systems, user information is delivered among different terminals distributed in the atmosphere, and the underwater environment. To combat the complex and variant marine channel conditions induced by the absorption, scattering, and turbulence influence, in this article, we propose a general orthogonal transform (OT) aided multiple input multiple output (MIMO) transmission scheme to enhance the transmission reliability performances. In our design, we propose to construct the orthogonal transform matrix recursively with the Hadamard matrix. Thus we could exploit the repetitive property of the elements in the orthogonal matrix to enlarge the Euclidean distances among the signals. Moreover, the value of the elements could be adjusted dynamically to adapt to time-changing channel conditions. Thanks to the orthogonality of the matrix, and the singular value decomposition (SVD), the interferences among signals could be effectively suppressed. Accordingly, the reliability performances can be improved. Furthermore, we derive the theoretical symbol error rate (SER) expressions for the proposed design. Numerical simulations are performed to validate the theoretical analysis. Furthermore, the SER performances with different water types, and wind speeds in various scenarios of the atmosphere, underwater, and air-water interface channels are investigated, and compared with the counterpart systems.