TY - JOUR
T1 - 基于特征模式分解的水声目标特征提取方法
AU - Li, Zipeng
AU - Ji, Yongqiang
AU - Guo, Bingyong
AU - Yang, Kunde
N1 - Publisher Copyright:
© 2023 Editorial Board of Journal of Harbin Engineering. All rights reserved.
PY - 2023/9
Y1 - 2023/9
N2 - This work aims to address the classification and identification problem of underwater targets in complex underwater acoustic environments and proposes a novel feature-mode decomposition method for the weak feature extraction of underwater acoustic targets. In this method, correlative kurtosis is used as the optimal decomposition parameter of the optimization target to realize the optimal decomposition of the original underwater acoustic signals. Then, modes are fused in accordance with the similarity of subsignals to enhance feature expression, thus realizing the accurate recognition of underwater acoustic targets in complex environments. Sea experiments show that the accuracy of underwater acoustic target recognition by the proposed method reaches 90. 1%, which is 12. 5% higher than that of underwater acoustic target recognition by traditional methods.
AB - This work aims to address the classification and identification problem of underwater targets in complex underwater acoustic environments and proposes a novel feature-mode decomposition method for the weak feature extraction of underwater acoustic targets. In this method, correlative kurtosis is used as the optimal decomposition parameter of the optimization target to realize the optimal decomposition of the original underwater acoustic signals. Then, modes are fused in accordance with the similarity of subsignals to enhance feature expression, thus realizing the accurate recognition of underwater acoustic targets in complex environments. Sea experiments show that the accuracy of underwater acoustic target recognition by the proposed method reaches 90. 1%, which is 12. 5% higher than that of underwater acoustic target recognition by traditional methods.
KW - correlative kurtosis
KW - empirical mode decomposition
KW - feature mode decomposition
KW - mode fusion
KW - parameter optimization
KW - radiated noise
KW - underwater acoustic target
KW - variational mode decomposition
UR - http://www.scopus.com/inward/record.url?scp=85171371093&partnerID=8YFLogxK
U2 - 10.11990/jheu.202304021
DO - 10.11990/jheu.202304021
M3 - 文章
AN - SCOPUS:85171371093
SN - 1006-7043
VL - 44
SP - 1542
EP - 1548
JO - Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University
JF - Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University
IS - 9
ER -