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基于大数据的激光通信光纤时延波动测量仿真

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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。
Simulation of Optical Fiber Delay Fluctuation Measurement in Laser Communication Based on Big Data
Space laser communication optical fiber has wide transmission band,long distance and large communi-cation capacity,but it is prone to time delay fluctuation due to the influence of ambient temperature and laser wave-length.Based on big data,a method of measuring optical fiber delay fluctuation in space laser communication was pro-posed 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

Big data technologySpace laser communicationFiber time delayOptical carrier transmission modelKalman filter

叶丽珠、邓铭毅、郑冬花

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广州商学院信息技术与工程学院,广东 广州 511363

广东工业大学,广东 广州 511300

大数据技术 空间激光通信 光纤时延 光载波传输模型 卡尔曼滤波方法

广东省本科高等学校教学质量与教学改革工程建设项目(2022)广东省高教学会规划高等教育研究课题(十四五)(2021)广东省本科高等学校教学质量与教学改革工程建设特色专业建设项目(2020)

2022SJJXGG99221GYB082020SJTSZY01

2024

计算机仿真
中国航天科工集团公司第十七研究所

计算机仿真

CSTPCD
影响因子：0.518
ISSN：1006-9348
年,卷(期)：2024.41(4)
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