Nghatsane Xongile, Cheng Ling, Cox Mitchell A
Appl Opt. 2021 Mar 1;60(7):1801-1808. doi: 10.1364/AO.414175.
Free-space-optics-based communication links are an attractive potential solution for solving the last mile challenge but suffer from turbulence-induced fading. This fading causes errors in the received signal. While models exist to predict how turbulence affects the signal, these models often do not account for the channel's memory. Typical fading models accurately predict the average effect of the channel on a signal but not the distribution of the errors and the individual lengths of events such as deep fades. To better model the channel, this paper presents an alternative approach: Fritchman Markov modeling. The models produced accurately match the behavior of the channel and can be used to develop robust and efficient error mitigation strategies in the future.
基于自由空间光的通信链路是解决最后一英里挑战的一个有吸引力的潜在解决方案，但会受到湍流引起的衰落影响。这种衰落会导致接收信号出现错误。虽然存在预测湍流如何影响信号的模型，但这些模型通常没有考虑信道的记忆特性。典型的衰落模型能够准确预测信道对信号的平均影响，但无法预测错误的分布以及诸如深度衰落等事件的单个持续时间。为了更好地对信道进行建模，本文提出了一种替代方法：弗里奇曼马尔可夫建模。所产生的模型能准确匹配信道的行为，并可用于未来开发强大且高效的错误缓解策略。
