Open AccessResearch on Power Harmonic Noise Suppression Method Based on Genetic Algorithm for Urban TEM Data
Author(s) -
Yang Sun,
Sihe Huang,
Jian Chen,
Yang Zhang
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/660/1/012005
Subject(s) - noise (video) , computer science , offset (computer science) , algorithm , harmonic , interference (communication) , noise power , electronic engineering , noise floor , signal (programming language) , acoustics , power (physics) , noise measurement , engineering , telecommunications , noise reduction , artificial intelligence , physics , channel (broadcasting) , quantum mechanics , image (mathematics) , programming language
In recent years, ground accidents are constantly occurring in the process of urban underground space development. TEM provides effective technical support for the rational development and safe operation of urban underground space as a flexible and low-cost geophysical method. However, the interference of human electromagnetic noise is serious in the urban environment, especially the power frequency harmonic noise has wide frequency band distribution, as it is difficult to suppress it quickly and effectively, resulting in low accuracy of the extracted secondary field signal and large inversion error. Aiming at the problem of power frequency harmonic noise interference, this paper proposes a noise suppression method based on genetic algorithm. Through the optimization algorithm, the feature matching segment in the reference noise is quickly searched, and it is self-adaptive offset with the power frequency harmonic noise in the signal. The simulation results show that the method can obtain higher signal-to-noise ratio when collecting less sample data. Furthermore, it is proved that this method of this paper has the characteristics of fast noise suppression and no signal loss.