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Step-adaptive accelerated demodulation algorithm for LFM-pulse-based distributed acoustic sensing

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Abstract

We propose a novel, to our knowledge, step-adaptive cross-correlation algorithm tailored for distributed acoustic sensing systems based on linear frequency modulation pulses, aiming for rapid demodulation. This algorithm adjusts its step length through an adaptive “successive refinement” search strategy, which greatly improves computational efficiency by reducing the number of cross-correlation computations. Experimental results have shown that the demodulation time can be reduced by approximately 15 times compared to the conventional method, while maintaining the same demodulation result.

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Data availability

The dataset underpinning this study’s findings is not hosted in a public repository, as no suitable platform exists in this field. Interested researchers may obtain the data by making a reasonable request to the authors.

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