Sea Clutter Suppression Method of HFSWR Based on RBF Neural Network Model Optimized by Improved GWO Algorithm
Joint Authors
Shang, Shang
He, Kang-Ning
Wang, Zhao-Bin
Yang, Tong
Liu, Ming
Li, Xiang
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-16
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The detection performance of high-frequency surface-wave radar (HFSWR) is closely related to the suppression effect of sea clutter.
To effectively suppress sea clutter, a sea clutter suppression method based on radial basis function neural network (RBFNN) optimized by improved gray wolf optimization (IGWO) algorithm is proposed.
Firstly, according to shortcomings of the standard gray wolf optimization (GWO) algorithm, such as slow convergence speed and easily getting into local optimum, an adaptive division of labor search strategy is proposed, which makes the population have abilities of both large-scale search and local exploration in the entire optimization process.
Then, the IGWO algorithm is used to optimize RBFNN, finally, establishing a sea clutter prediction model (IGWO-RBFNN) and realizing the prediction and suppression of sea clutter.
Experiments show that the IGWO algorithm has significantly improved convergence speed and optimization accuracy.
Compared with the particle swarm algorithm with linear decreasing weight strategy (LDWPSO) and the GWO algorithm, the RBFNN prediction model optimized by the IGWO algorithm has higher prediction accuracy and has a better suppression effect on sea clutter of HFSWR.
American Psychological Association (APA)
Shang, Shang& He, Kang-Ning& Wang, Zhao-Bin& Yang, Tong& Liu, Ming& Li, Xiang. 2020. Sea Clutter Suppression Method of HFSWR Based on RBF Neural Network Model Optimized by Improved GWO Algorithm. Computational Intelligence and Neuroscience،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1138888
Modern Language Association (MLA)
Shang, Shang…[et al.]. Sea Clutter Suppression Method of HFSWR Based on RBF Neural Network Model Optimized by Improved GWO Algorithm. Computational Intelligence and Neuroscience No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1138888
American Medical Association (AMA)
Shang, Shang& He, Kang-Ning& Wang, Zhao-Bin& Yang, Tong& Liu, Ming& Li, Xiang. Sea Clutter Suppression Method of HFSWR Based on RBF Neural Network Model Optimized by Improved GWO Algorithm. Computational Intelligence and Neuroscience. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1138888
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1138888