论文标题
水下气泡对光学无线通道的影响的统计建模
Statistical Modeling of the Impact of Underwater Bubbles on an Optical Wireless Channel
论文作者
论文摘要
在水下无线光学通信(UWOC)中,气泡的随机障碍物会在接收器的传入光强度中引起波动。在本文中,我们提出了一个统计模型,用于在存在气泡的情况下确定接收器接收的功率。首先,基于水下气泡行为的实际实验,我们提出了每种气泡的产生,大小和水平分布的统计模型。其次,我们在数学上得出了每个气泡穿过光束区域时的阴影引起的障碍物。然后,我们计算所有生成的气泡的组合阻塞以确定总阻塞功率,这是由于气泡行为的随机性而随机变量。接下来,我们发现总阻塞功率的第一矩和第二矩,通过使用矩方法对受阻接收的功率的统计分布进行建模,这表明Weibull分布适当匹配模拟数据。我们还使用两个派生力矩来估计形状和比例参数。此外,我们还在存在气泡的情况下构建了一个完全阻塞的接收功率的统计模型,并得出了将拟议的气泡孔模型与伽玛 - 伽马湍流模型相结合的复合通道模型的分布。最后,我们获得并验证在此新提出的复合通道模型下的平均位错误率和UWOC系统能力的分析形式。
In underwater wireless optical communications (UWOC), the random obstruction of light propagation by air bubbles can cause fluctuations in the incoming light intensity of a receiver. In this paper, we propose a statistical model for determining the received power by a receiver in the presence of air bubbles. First, based on real experiments of the behavior of air bubbles underwater, we propose statistical models for the generation, size, and horizontal distribution of each air bubble. Second, we mathematically derive the obstruction caused by the shadow of each bubble as it passes over the beam area. We then compute the combined obstruction of all generated air bubbles to determine the total obstructed power, which is a random variable due to the randomness of bubble behavior. Next, we find the first and second moments of the total obstructed power to model the statistical distribution of the obstructed received power by using the method of moments, which shows that the Weibull distribution suitably matches the simulation data. We also estimate the shape and scale parameters by using two derived moments. Furthermore, we also construct a statistical model of the received power with complete blockage in the presence of air bubbles and we derive the distribution of the composite channel model combining the proposed bubble-obstruction model with a Gamma-Gamma turbulence model. Finally, we obtain and verify the analytic forms of the average bit error rate and the capacity of UWOC systems under this newly proposed composite channel model.