Improving Spatial Resolution of Raman DTS Using Total Variation Deconvolution


Ancient Raman distributed optical sensor (DTS) exhibits an occasional-pass characteristic that causes sharp temperature changes to be over smoothed. This behavior will be modeled as the convolution of the real temperature profile with the DTS impulse response. This paper presents a deconvolution algorithm developed to enhance the spatial resolution of a Raman DTS system. The algorithm is based on a linear DTS model and total variation regularization. The main advantage is the flexibility to properly reconstruct hot regions with dimensions down to fifteen cm, which represents a resolution gain of up to six times when compared with the DTS spatial resolution of one m. We present simulations and experimental results demonstrating the efficacy of the proposed methodology.

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