Sensing resolution enhancement of long-range BDTS using D-SVD algorithm

This paper presents the sensing resolution improvement of Brillouin distributed temperature sensor (BDTS) using signal processing technique. The sensor is designed for 70 km sensing range using optical time domain reflectometry (OTDR) technique. We have compared the performance of designed sensor in terms of sensing resolution using different denoising algorithms such as dichotomize singular value decomposition (D-SVD) algorithm, Fourier-Wavelet Regularized Deconvolution (ForWaRD) algorithm and Lifting Wavelet algorithm. The temperature resolution is obtained as 11 K using D-SVD algorithm at 70 km distance. However, the temperature resolution as 29 K is observed without using denoising algorithm at same distance. An improvement of temperature resolution as 18 K is observed using D-SVD algorithm. In addition, the improvement of sensing resolution is observed in D-SVD algorithm compared to other denoising algorithms.