4.6 Article

Time-expanded φOTDR using low-frequency electronics

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OPTICS EXPRESS
卷 31, 期 2, 页码 843-852

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Optica Publishing Group
DOI: 10.1364/OE.475541

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TE-fOTDR is a distributed optical fiber sensing technique that uses the interference of two mutually coherent optical frequency combs. It allows for distributed acoustic sensing with centimeter resolution and megahertz range detection bandwidth. In this paper, the authors demonstrate that TE-fOTDR can be achieved with low-frequency electronics for both signal generation and detection, resulting in a simple, compact, low-cost and potentially field-deployable sensor. High-resolution distributed sensing is carried out without the need for coding strategies or enhanced backscatter fibers.
Time expanded phase-sensitive optical time-domain reflectometry (TE-fOTDR) is a recently reported technique for distributed optical fiber sensing based on the interference of two mutually coherent optical frequency combs. This approach enables distributed acoustic sensing with centimeter resolution while keeping the detection bandwidth in the megahertz range. In this paper, we demonstrate that TE-fOTDR can be realized with low-frequency electronics for both signal generation and detection. This achievement is possible thanks to the use of a couple of electro-optic comb generators driven by commercially available step recovery diodes. These components are fed by radio frequencies that are orders of magnitude lower than those involved in the signals so far originated by ultrafast waveform generation. The result is a simple, compact, low-cost and potentially field-deployable sensor that works without resorting to any decoding algorithm. Besides, high-resolution distributed sensing is carried out with no need of coding strategies or enhanced backscatter fibers. To check the capabilities of our system, we perform distributed strain sensing over a range of 20 m. The spatial resolution is 3 cm and the acoustic sampling rate can be increased up to 200 Hz. This performance reveals the prospective of the proposed approach for field applications, including structural health monitoring.

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