Improved Rotational Vector Summation Algorithm for Fade Suppression in Distributed Acoustic Sensing

• Published in: Journal of physics. Conference series 2023-10, Vol.2617 (1), p.12014
• Main Authors: Liu, Xu, Tang, Wei, Xie, Lang, Wang, Yingshu, Shi, Ji, Liu, Kang
• Format: Article
• Language: English
• Subjects: Algorithms; Coherent Optical Time Domain Reflectometry; Fade Suppression; Optical Fiber Sensing; Optical fibers; Physics; Polarization; Polarization Diversity; Signal fading; Signal to noise ratio
• ISSN: 1742-6588; 1742-6596
• DOI: 10.1088/1742-6596/2617/1/012014

Signal fading severely affects the performance of optical fiber distributed acoustic sensing (DAS) systems based on coherent optical time domain reflectometry (COTDR), especially in terms of differentiated responses between channels. To eliminate fading, a polarization diversity COTDR system is established, which generates two pulse feedbacks with different fading components for P and S polarization. The rayleigh backscattered (RBS) signals from the two separate probing pulses exhibit different fading positions under the influence of external interference but have the same phase change rate. Through an improved rotational vector summation (IRVS) algorithm, the complex RBS signals of the two polarization states are effectively synthesized, simultaneously suppressing fading phenomena caused by orthogonal polarization. Experimental results demonstrate that the demodulated signal-to-noise ratio (SNR) can reach 65 dB@200 Hz. Moreover, by using 20% of the mean amplitude as a threshold, the probability of fade events decreases from 4.9% to 0.12%. The proposed fade mitigation distributed sensing system exhibits excellent performance and plays a crucial role in practical DAS systems.