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Hologram selection in realistic indoor optical wireless systems with angle diversity receivers

机译:具有角度分集接收器的实际室内光学无线系统中的全息图选择

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摘要

In this paper, we introduce a new adaptive optical wireless system that employs a finite vocabulary of stored holograms. We propose a fast delay, angle, and power adaptive holograms (FDAPA-Holograms) approach based on a divide and conquer (D&C) methodology and evaluate it with angle diversity receivers in a mobile optical wireless system. The ultimate goal is to increase the signal-to-noise ratio (SNR), reduce the effect of intersymbol interference, and eliminate the need to calculate the hologram at each transmitter and receiver location. A significant improvement is achieved in the presence of demanding background illumination noise, receiver noise, multipath propagation, mobility, and shadowing typical in a realistic indoor environment. The combination of beam delay, angle, and power adaptation offers additional degrees of freedom in the link design, resulting in a system that is able to achieve higher data rates (5 Gb/s). At a higher data rate of 5 Gb/s and under eye safety regulations, the proposed FDAPA-Holograms system offers around 13 dB SNR with full mobility in a realistic environment where shadowing exists. The fast search algorithm introduced that is based on a D&C algorithm reduces the computation time required to identify the optimum hologram. Simulation results show that the proposed system, FDAPA-Holograms, can reduce the time required to identify the optimum hologram position from 64 ms taken by a classic adaptive hologram to about 14 ms.
机译:在本文中,我们介绍了一种新的自适应光学无线系统,该系统采用了存储的全息图的有限词汇量。我们提出一种基于分而治之(D&C)方法的快速延迟,角度和功率自适应全息图(FDAPA-Holograms)方法,并在移动光学无线系统中使用角度分集接收器对其进行评估。最终目标是提高信噪比(SNR),减少符号间干扰的影响以及消除在每个发射器和接收器位置计算全息图的需要。在现实的室内环境中,典型地存在苛刻的背景照明噪声,接收器噪声,多径传播,移动性和阴影,从而实现了重大改进。光束延迟,角度和功率自适应的结合为链路设计提供了额外的自由度,从而使系统能够实现更高的数据速率(5 Gb / s)。在5 Gb / s的更高数据速率下,并且在人眼安全规定下,建议的FDAPA-Holograms系统可在存在阴影的真实环境中提供约13 dB的SNR,并具有完全的移动性。引入的基于D&C算法的快速搜索算法减少了识别最佳全息图所需的计算时间。仿真结果表明,所提出的系统FDAPA全息图可以将识别最佳全息图位置所需的时间从经典自适应全息图所需的64 ms减少到大约14 ms。

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