水下无线光链路的随机模型

Huihui Zhang, Yuhan Dong, Xuedan Zhang
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引用次数: 27

摘要

光束在水下环境中特别是在浑浊水中传播时,由于吸收和多次散射而产生衰减。光子传播后的时空分布可以量化这种信道衰减,因此是水下无线光通信(UWOC)的关键问题。通常,光子的空间分布由两个关键因素组成,分别是光子与粒子相互作用前后的移动距离和散射角。本文采用Henyey-Greenstein (HG)函数作为散射角的概率密度函数(PDF),推导出每个光子步距的概率密度函数,建立了UWOC链路的随机模型。该随机模型可用于评价光子的时空分布,与蒙特卡罗模拟结果吻合较好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On stochastic model for underwater wireless optical links
Light beam suffers attenuation due to absorbtion and multiple scattering when propagating through underwater environment especially in turbid water. The spatial and temporal distribution of photons after propagation can quantify this channel attenuation and therefore is a key issue for underwater wireless optical communications (UWOC). Typically, the spatial distribution of photons consists two key factors which are the moving distance and scattering angle for each photon before and after interacting with a particle, respectively. In this paper, we present a stochastic model for UWOC links by adopting the Henyey-Greenstein (HG) function as probability density function (PDF) of scattering angle and deriving the PDF of step distance for each photon. The proposed stochastic model can be used to evaluate the spatial and temporal distribution of photons, which fits well with Monte Carlo simulation result in turbid seawater such as coastal water.
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