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Citation:
　Mei Yang,Xiukun Li,Yang Yang,et al.Characteristic Analysis of Underwater Acoustic Scattering Echoes in the Wavelet Transform Domain[J].Journal of Marine Science and Application,2017,(1):93-101.[doi:10.1007/s11804-017-1398-6]
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Characteristic Analysis of Underwater Acoustic Scattering Echoes in the Wavelet Transform Domain

Info

Title:
Characteristic Analysis of Underwater Acoustic Scattering Echoes in the Wavelet Transform Domain
Author(s):
Mei Yang1; 2;  Xiukun Li1; 2;  Yang Yang1; 2;  Xiangxia Meng1; 2
Affilations:
Author(s):
Mei Yang1; 2;  Xiukun Li1; 2;  Yang Yang1; 2;  Xiangxia Meng1; 2
1. Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, China;
2. College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China
Keywords:
underwater acoustic scattering echoes; geometrical scattering components; time delay estimation; wavelet transform
分类号:
-
DOI:
10.1007/s11804-017-1398-6
Abstract:
Underwater acoustic scattering echoes have time-space structures and are aliasing in time and frequency domains. Different series of echoes properties are not identified when incident angle is unknown. This article investigates variations in target echoes of monostatic sonar to address this problem. The mother wavelet with similar structures has been proposed on the basis of preprocessing signal waveform using matched filter, and the theoretical expressions between delay factor and incident angle are derived in the wavelet domain. Analysis of simulation data and experimental results in free-field pool show that this method can effectively separate geometrical scattering components of target echoes. The time delay estimation obtained from geometrical echoes at a single angle is consistent with target geometrical features, which provides a basis for object recognition without angle information. The findings provide valuable insights for analyzing elastic scattering echoes in actual ocean environment.

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Memo

Memo:
Received date:2016-06-14;Accepted date:2016-10-08。
Foundation item:Supported by the National Natural Science Foundation of China(Grant No.51279033) and Natural Science Foundation of Heilongjiang Province, China(Grant No.F201346)
Corresponding author:Xiukun Li,Email:lixiukun@hrbeu.edu.cn
Last Update: 2017-03-25