Laser & Optoelectronics Progress, Volume. 58, Issue 20, 2007001(2021)
Echo Signal Denoising Based on Optimized Variational Mode Decomposition Algorithm
The echo signal of ultrasonic flowmeter usually has noise interference, which makes it difficult to locate the echo signal accurately. In order to filter out the noise in the ultrasonic echo signal, a signal denoising method based on the optimized variational modal decomposition (VMD) algorithm is proposed. Firstly, the information entropy of the mutual information criterion is used to associate the genetic algorithm with VMD. Then, the sample entropy is used as the fitness function to adaptively optimize the parameter combination in VMD algorithm. Finally, the original signal is decomposed, the effective signal is calculated through the correlation coefficient, and the effective signal is reconstructed after further denoising. The simulation results show that the proposed method can effectively filter out the noise in ultrasonic echo signal and retain the useful signal completely.
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Qi Wang, Xiaopeng Wang, Bohui Wang. Echo Signal Denoising Based on Optimized Variational Mode Decomposition Algorithm[J]. Laser & Optoelectronics Progress, 2021, 58(20): 2007001
Category: Fourier Optics and Signal Processing
Received: Nov. 23, 2020
Accepted: Jan. 19, 2021
Published Online: Oct. 12, 2021
The Author Email: Wang Qi (527466867@qq.com)