Signal Processing for Phase-sensitive OTDR Scheme in Fiber Optic Micro-Vibration Sensors

In this article, we explore the signal processing program for Phase-sensitive Optical Time-Domain Reflectometry (phase-OTDR) scheme used in fiber optic micro-vibration sensors. The program is implemented in MATLAB and supports direct simulation to enhance understanding of this technical approach. Fiber optic micro-vibration sensors are specialized devices designed to detect minute vibrations. In this scheme, we utilize these sensors to monitor subtle vibrations within optical fibers and convert them into optical signals. These optical signals undergo processing through the phase-OTDR scheme to extract valuable information about vibrations occurring along the fiber. The MATLAB implementation incorporates several advanced signal processing techniques, including digital filtering methods (such as low-pass and band-pass filters) and Fast Fourier Transform (FFT) algorithms. These techniques enable precise analysis of micro-vibrations in optical fibers and facilitate effective information extraction from the acquired signals. The code structure typically involves signal acquisition modules, noise reduction filters, frequency domain analysis functions, and vibration localization algorithms. Through simulation using this program, researchers can gain deeper insights into the working principles of the scheme, optimize signal processing parameters, and enhance overall system performance. The program includes configurable parameters for adjusting spatial resolution, sampling rates, and filter characteristics, allowing users to test different scenarios. Therefore, this MATLAB-based implementation holds significant value for research and development of phase-OTDR schemes based on fiber optic micro-vibration sensors, serving as both an educational tool and a prototyping platform.