气泡存在下水下无线光信道光强起伏的统计分布
Statistical Distribution of Intensity Fluctuations for Underwater Wireless Optical Channels in the Presence of Air Bubbles
摘要：
在本文中，我们实验研究了不同的信道条件下，即新鲜和咸的水下信道，有和没有气泡的强度波动的统计分布的水下无线光信道。为此，我们首先测量具有大量样本的接收光信号。基于归一化的采集数据的信道相干时间和波动的概率密度函数（PDF）的不同信道的情况下得到的。我们的实验结果表明，盐衰减接收到的信号，而气泡主要引入严重的强度波动。此外，我们观察到，对数正态分布精确地拟合所获得的数据PDF闪烁指数（$σ^2_I$）值小于$0.1$，而伽马-伽马和K分布恰当地预测强度波动$σ^2_I>1$。由于这两种分布都不能预测$0.1<σ^2_I<1$接收到的辐照度，我们提出了一个指数和对数正态分布的组合，以完美地描述所获得的数据PDF闪烁指数等制度。
英文摘要：
In this paper, we experimentally investigate the statistical distribution of intensity fluctuations for underwater wireless optical channels under different channel conditions, namely fresh and salty underwater channels with and without air bubbles. To do so, we first measure the received optical signal with a large number of samples. Based on the normalized acquired data the channel coherence time and the fluctuations probability density function (PDF) are obtained for different channel scenarios. Our experimental results show that salt attenuates the received signal while air bubbles mainly introduce severe intensity fluctuations. Moreover, we observe that log-normal distribution precisely fits the acquired data PDF for scintillation index ($σ^2_I$) values less than $0.1$, while Gamma-Gamma and K distributions aptly predict the intensity fluctuations for $σ^2_I>1$. Since neither of these distributions are capable of predicting the received irradiance for $0.1<σ^2_I<1$, we propose a combination of an exponential and a log-normal distributions to perfectly describe the acquired data PDF for such regimes of scintillation index.
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