Hologram selection in realistic indoor optical wireless systems with angle diversity receivers
Hologram selection in realistic indoor optical wireless systems with angle diversity receivers
复制标题
具有角度分集接收器的现实室内光学无线系统中的全息图选择
DOI：
--
复制
发表时间：
2015
期刊：
影响因子：
--
通讯作者：
J. Elmirghani
中科院分区：
文献类型：
--
作者：
M. Alresheedi;J. Elmirghani
在本文中，我们介绍了一种新的自适应光学无线系统，该系统采用存储全息图的有限词汇。我们提出了一种基于分而治之 (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），减少码间干扰的影响，并消除在每个发射器和接收器位置计算全息图的需要。在现实室内环境中存在要求严格的背景照明噪声、接收器噪声、多径传播、移动性和阴影的情况下，实现了显着的改进。波束延迟、角度和功率自适应的组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，并符合人眼安全法规，拟议的 FDAPA-Holograms 系统可提供约 13 dB 的 SNR，并且在存在阴影的现实环境中具有完全的移动性。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-Holograms 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 毫秒减少到约 14 毫秒。
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.