Details

The main task of this article is to propose a method for estimating noise levels, then test the noise estimation algorithm, and draw relevant conclusions, such as the uniformity of noise distribution, comparison of noise levels in different systems, and the effectiveness of the proposed estimation method. In terms of experimental data processing, MATLAB software was used, including creating fiber channel diagrams, calculating noise levels through a combination of silent segment analysis and median frequency domain analysis. By amplifying the waveform, the characteristics of the signal can be more accurately analyzed, including distinguishing between noise levels and real signals, analyzing whether the waveform presents a stable background, and whether there are obvious signal reflection peaks or noise fluctuations. Through this method, optical time-domain reflectometer equipment or related data processing software can be used to visualize the signal waveform of the silent section, helping to observe signal characteristics more intuitively, analyze noise levels, analyze whether the waveform presents a stable background, whether there are obvious signal reflection peaks or noise fluctuations, and distinguish between real signals and noise components. This can help accurately estimate noise levels and perform corresponding data analysis and processing. It can improve the accuracy and reliability of noise level estimation. By utilizing advanced mathematical formulas, calibration techniques, and data analysis based on MATLAB, researchers can accurately estimate the noise level of OTDR signals. It can better understand the status of fiber optic lines, which not only helps to improve the reliability and performance of fiber optic communication systems, but also improves network maintenance efficiency, optimizes resource allocation, and takes corresponding maintenance and optimization measures to reduce operating costs, ultimately ensuring high-quality communication services.