北京邮电大学学报

  • EI核心期刊

北京邮电大学学报

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面向Φ-OTDR实时系统的单边带频谱截取算法

连志文,刘飞,王智,杨旭,周娴   

  1. 北京科技大学
  • 收稿日期:2024-04-23 修回日期:2024-08-05 发布日期:2024-11-22
  • 通讯作者: 周娴
  • 基金资助:
    国家自然科学基金;广东省基础与应用基础研究基金;顺德研究生院科技创新基金;北京市自然科学基金

Single Sideband Spectrum Intercept Algorithm for Φ-OTDR Real-Time System

  • Received:2024-04-23 Revised:2024-08-05 Published:2024-11-22

摘要: 为了满足相位敏感光时域反射计(Φ-OTDR)传感系统实时化监测需求,本文提出了一种基于信号单边带频谱截取的相位提取算法(SSB-SI),并运用多线程结构与中央处理器(CPU)加图形处理器(GPU)的异构并行计算相结合的方式,实现Φ-OTDR系统的数据实时处理,可满足每秒上百兆数据量的解调要求。实验结果表明,基于该单边带频谱的相位提取算法的Φ-OTDR系统在保持性能(如空间分辨率,噪声本底)稳定的前提下,监测相位解调时间将被压缩约21.1%,同时降低了输出数据文件大小,使得数据存储效率提高近70%,实现了监测数据的实时存储。该方法显著降低了实时Φ-OTDR硬件系统对数据处理速率的需求与系统研制成本,对Φ-OTDR系统的应用与推广具有重要意义。

关键词: 相位敏感光时域反射计, 分布式光纤传感, 多线程, 实时系统

Abstract: In order to meet the real-time monitoring requirements of the sensing system of phase-sensitive optical time-domain reflectometer (Φ-OTDR), this paper proposes a phase extraction algorithm based on the single-sideband spectrum interception of the signal (SSB-SI) and applies the combination of multi-threaded structure and heterogeneous parallel computation with a central processor (CPU) plus a graphic processor (GPU) to achieve the real-time processing of the data in the Φ-OTDR system, which can meet the demodulation requirements of hundreds of megabytes of data per second. The experimental results show that the Φ-OTDR system based on the phase extraction algorithm of this single-sideband spectrum will compress the monitoring phase demodulation time by about 21.1% while keeping the stable performance (e.g., spatial resolution, noise background), and at the same time reduce the size of the output data file, which improves the data storage efficiency by nearly 70% and achieves the real-time storage of monitoring data. This method significantly reduces the data processing rate requirement and system development cost of the real-time Φ-OTDR hardware system, which is of great significance for the application and promotion of the Φ-OTDR system.

Key words: phase-sensitive optical time-domain reflectometer, distributed fiber optic sensing, multithreading, real-time system

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