New BFS Retrieval Technique for Brillouin Optical Time Domain Analysis Sensor System

In this paper, Gaussian smoothing (GS), non-local means (NLM), and Quaternion Wavelet Transform (QWT) have been described in detail. Furthermore, a Brillouin optical time domain analysis (BOTDA) experimental system was built to verify the denoising algorithms. The principal analyses show that QWT algorithm is more efficient image method. results indicate GS can obtain highest signal-to-noise ratio (SNR), frequency uncertainty, shift (BFS) accuracy, be executed an imperceptible time, but has lowest spatial resolution. After being denoised by using NLM algorithm, although SNR, BFS resolution significantly improved, it takes 40 min implement for BGS with 200 × 100,000 points. Processed SNR increases 17.26 dB uncertainty decreases 0.24 MHz, accuracy of only 0.2 MHz achieved. Moreover, 3 m, which not affected algorithm. It less than 32 s denoise same raw data. technique suitable data processing BOTDA sensor system.