Open AccessA New De-Noising Method for Ground Penetrating Radar Signal
Author(s) -
Yong-Min Ma,
Yong-Gwang Jong,
Yang Liu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1802/2/022002
Subject(s) - ground penetrating radar , hilbert–huang transform , wavelet , signal (programming language) , computer science , decomposition , mode (computer interface) , radar , artificial intelligence , key (lock) , algorithm , pattern recognition (psychology) , computer vision , telecommunications , ecology , computer security , filter (signal processing) , biology , operating system , programming language
The de-noising of data has become the key problem of ground penetrating radar (GPR) research. In this paper, the de-noising method based on combination of complete ensemble empirical mode decomposition (CEEMD) and wavelet decomposition is proposed. By combining CEEMD and wavelet decomposition, the effective signal information can be extracted from the removed intrinsic mode function (IMF) components in de-noising based on CEEMD. Numerical simulation results show that the quality of the GPR signal can be obviously improved by using the combination method.