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Fast Sinusoidal Frequency Scan OFDR for Long Distance Distributed Acoustic Sensing

机译:快速正弦频率扫描OFDR用于长距离分布式声感测

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Implementation of Optical Frequency Domain Reflectometry (OFDR) requires a source whose instantaneous frequency can be accurately scanned over a sufficiently wide frequency range. Achieving high repetition rates of accurate linear frequency sweeps can be rather challenging. In contrast, fast and accurate Sinusoidal Frequency Scan (SFS-OFDR) can be easily implemented via direct or external optical frequency modulation. While enabling high spatial resolution measurements of a sensing fiber at high scan rates, SFS-OFDR requires a special processing algorithm to convert the detector output to fiber profiles. Previous implementation of the algorithm involved O( N~2) complexity and prohibited real time operation. In this work a novel algorithm for processing SFS-OFDR raw data is introduced. Based on two consecutive FFT operations, the algorithm produces the fiber profile with O(NlogN) operations and lends itself for real time applications. The new method was tested via simulation and experiment. It enabled static detection with high resolution (~3m) at 64km and highly sensitive dynamic detection (stretching amplitude of 70nm) near the end of a 64km sensing fiber with spatial resolution <10m and with 400Hz scan repetition rate.
机译:光频域反射仪(OFDR)的实现需要一种可以在足够宽的频率范围内准确扫描瞬时频率的信号源。实现精确的线性频率扫描的高重复率可能是相当具有挑战性的。相比之下,可以通过直接或外部光学频率调制轻松实现快速,准确的正弦频率扫描(SFS-OFDR)。在能够以高扫描速率对传感光纤进行高空间分辨率测量的同时,SFS-OFDR需要一种特殊的处理算法,以将检测器的输出转换为光纤轮廓。该算法的先前实现涉及O(N〜2)复杂度并禁止实时操作。在这项工作中,介绍了一种用于处理SFS-OFDR原始数据的新颖算法。基于两个连续的FFT运算,该算法使用O(NlogN)运算生成光纤配置文件,并将其用于实时应用。通过仿真和实验对新方法进行了测试。它能够在64 km的高分辨率光纤(〜3m)上进行静态检测(〜3m),并在空间分辨率<10m且扫描重复频率为400Hz的64km传感光纤末端附近实现高度灵敏的动态检测(拉伸幅度为70nm)。

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