A New Hybrid Model for Underwater Acoustic Signal Prediction
Joint Authors
Li, Guohui
Yang, Hong
Chang, Wanni
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-25
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
The prediction of underwater acoustic signal is the basis of underwater acoustic signal processing, which can be applied to underwater target signal noise reduction, detection, and feature extraction.
Therefore, it is of great significance to improve the prediction accuracy of underwater acoustic signal.
Aiming at the difficulty in underwater acoustic signal sequence prediction, a new hybrid prediction model for underwater acoustic signal is proposed in this paper, which combines the advantages of variational mode decomposition (VMD), artificial intelligence method, and optimization algorithm.
In order to reduce the complexity of underwater acoustic signal sequence and improve operation efficiency, the original signal is decomposed by VMD into intrinsic mode components (IMFs) according to the characteristics of the signal, and dispersion entropy (DE) is used to analyze the complexity of IMF.
The subsequences (VMD-DE) are obtained by adding the IMF with similar complexity.
Then, extreme learning machine (ELM) is used to predict the low-frequency subsequence obtained by VMD-DE.
Support vector regression (SVR) is used to predict the high-frequency subsequence.
In addition, an artificial bee colony (ABC) algorithm is used to optimize model performance by adjusting the parameters of SVR.
The experimental results show that the proposed new hybrid model can provide enhanced accuracy with the reduction of prediction error compared with other existing prediction methods.
American Psychological Association (APA)
Li, Guohui& Chang, Wanni& Yang, Hong. 2020. A New Hybrid Model for Underwater Acoustic Signal Prediction. Complexity،Vol. 2020, no. 2020, pp.1-19.
https://search.emarefa.net/detail/BIM-1142290
Modern Language Association (MLA)
Li, Guohui…[et al.]. A New Hybrid Model for Underwater Acoustic Signal Prediction. Complexity No. 2020 (2020), pp.1-19.
https://search.emarefa.net/detail/BIM-1142290
American Medical Association (AMA)
Li, Guohui& Chang, Wanni& Yang, Hong. A New Hybrid Model for Underwater Acoustic Signal Prediction. Complexity. 2020. Vol. 2020, no. 2020, pp.1-19.
https://search.emarefa.net/detail/BIM-1142290
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142290