论文信息 - Brillouin distributed strain sensor performance improvement using FourWaRD algorithm

Brillouin distributed strain sensor performance improvement using FourWaRD algorithm

Abstract This paper presents an improvement of dynamic range as well as the strain resolution of the proposed 70 km Brillouin distributed sensor using Fourier wavelet regularised deconvolution (FourWaRD) algorithm. We have investigated the deconvolution algorithms such as: Fourier deconvolution (FourD), Fourier regularised deconvolution (FourRD) and (FourWaRD) in this paper. The Landau–Placzek ratio (LPR) is used for extracting the strain profile of the proposed sensing system with the interrogating technique based on optical time domain reflectometry (OTDR). Numerical simulation result shows that the strain resolution is enhanced about eighteen times at 70 km distance using FourWaRD algorithm compared to FourD algorithm. Similarly, the dynamic range of 49.1 dB is achieved using FourWaRD algorithm whereas 32.77 dB and 45 dB are observed using FourD and FourRD algorithms respectively. The proposed system exhibits a spatial resolution of 10 m using 10 mW launched power for 70 km sensing range.

Himansu Shekhar Pradhan | Prasant Kumar Sahu

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