基于大数据的激光通信光纤时延波动测量仿真

Simulation of Optical Fiber Delay Fluctuation Measurement in Laser Communication Based on Big Data

空间激光通信光纤的传输频带宽、距离远且通信容量大,但是易受环境温度和激光器波长影响出现时延波动问题。为解决以上问题,提出基于大数据的空间激光通信光纤时延波动测量方法。构建光载波传输模型,分析光纤时延波动的影响因素。采用大数据技术测量时延波动,获得其初始测量值,通过卡尔曼滤波方法处理并提高测量值的精度,完成空间激光通信光纤时延波动的精准测量。实验结果表明,空间激光通信光纤距离不断增加时,时延波动量不断增大,研究方法测量结果与实际值具有较高拟合度,且对时延波动的跟踪精度高,不确定度保持在10ps以内。

Space laser communication optical fiber has wide transmission band,long distance and large communication capacity,but it is prone to time delay fluctuation due to the influence of ambient temperature and laser wavelength.Based on big data,a method of measuring optical fiber delay fluctuation in space laser communication was proposed in the paper.At first,an optical carrier transmission model was constructed,and the influencing factors of fiber delay fluctuation were analyzed.Then,the big data technology was adopted to measure the time delay fluctuation,thus obtaining the initial measurement value.Moreover,Kalman filter method was used to process and improve the accuracy of the measurement value.Finally,the accurate measurement for the time delay fluctuation of optical fiber in space laser communication was completed.The experimental results show that the fluctuating quantity increases with the increasing distance of optical fiber.The measured results of the method have a high degree of fit with the actual values.Meanwhile,the tracking accuracy of delay fluctuation is high,and the uncertainty is less than 10ps。