Experimental analysis of the time dynamics of coherent communication through turbulence: Markovianity and channel prediction

A. Puryear, Rui Jin, Edward A. Lee, V. Chan
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引用次数: 14

Abstract

Clear air atmospheric turbulence causes significant fading for terrestrial-terrestrial and terrestrial-satellite free space optical communication systems. Typically extra link margin is used to assure link availability and reliability, however this extra margin is an inefficient and expensive use of resources. In this paper, we analyze data collected by an experimental system with a single laser transmitter located 250 meters from two coherent receivers. We first use the data to validate the use of a two-state continuous time Markov process to model outage statistics of the diversity system. In the two-state channel model, symbols received during an outage are assumed to be lost, and symbols received during a non-outage are assumed to be received correctly. This channel model can be used to analyze the performance of the transport layer. Next, we use statistical and spectral analysis techniques to create a linear prediction model for signal attenuation for both the single-receiver and diversity systems. The prediction model is an optimal estimator that predicts signal attenuation 1 ms into the future to 1.5 dB accuracy for the single-receiver cases and to 1 dB accuracy for the diversity case. The maximum amount of time the estimator can predict into the future with some confidence is about 5-10 ms. This channel prediction and adaptation can be used to greatly improve the efficiency of free-space optical communication systems in the atmosphere.
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湍流相干通信时间动力学的实验分析:马尔可夫性和信道预测
晴空大气湍流对地面-地面和地面-卫星自由空间光通信系统造成明显的衰落。通常使用额外的链接余量来确保链接的可用性和可靠性,但是这种额外的余量是一种低效且昂贵的资源使用。在本文中,我们分析了由一个实验系统收集的数据,该系统使用一个激光发射器,位于距离两个相干接收器250米的地方。我们首先使用数据验证了使用双状态连续时间马尔可夫过程来模拟分集系统的停机统计。在双状态通道模型中,假定在中断期间接收到的符号丢失,而在非中断期间接收到的符号被正确接收。该信道模型可用于分析传输层的性能。接下来,我们使用统计和频谱分析技术来创建单接收机和分集系统信号衰减的线性预测模型。该预测模型是一种最佳估计器,可以预测单接收机情况下1 ms到1.5 dB精度的信号衰减,分集情况下1 dB精度的信号衰减。估计器可以有一定信心地预测未来的最大时间大约是5-10毫秒。这种信道预测和自适应方法可以大大提高大气自由空间光通信系统的效率。
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