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Citation:
 Hongjian Jia,Xiukun Li,Xiangxia Meng,et al.Extraction of Echo Characteristics of Underwater Target Based on Cepstrum Method[J].Journal of Marine Science and Application,2017,(2):216-224.[doi:10.1007/s11804-017-1407-9]
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Extraction of Echo Characteristics of Underwater Target Based on Cepstrum Method

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Title:
Extraction of Echo Characteristics of Underwater Target Based on Cepstrum Method
Author(s):
Hongjian Jia12 Xiukun Li12 Xiangxia Meng12 Yang Yang12
Affilations:
Author(s):
Hongjian Jia12 Xiukun Li12 Xiangxia Meng12 Yang Yang12
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 targetrigid scattering echoestime delay characteristicscepstrumwavelet enhancementecho characteristic
分类号:
-
DOI:
10.1007/s11804-017-1407-9
Abstract:
The analysis and characteristic extraction of target echo characteristics are important in underwater target detection and recognition. Rigid acoustic scattering components are generally used as major echo contributors with relatively stable characteristic information. Previous studies focus on echo characteristics from a single angle, thereby limiting the amount of extracted characteristic information. This paper aims to establish a full-angle rigid echo components model and overcome the difficulty of the extraction of time delay characteristics of narrow-band acoustic scattering echoes. On the basis of the analysis of the target echo highlight model, the echo characteristics of rigid acoustic scattering components are extracted in the cepstrum domain, and a wavelet process is proposed to enhance the effect of time delay estimation. Experimental data indicate that the extracted time delay characteristics accord with the rigid echo characteristics of underwater target, thereby validating the effectiveness of the cepstrum method.

References:

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Memo

Memo:
Received date:2016-6-14;Accepted date:2016-11-24。
Foundation item:Supported by the National Natural Science Foundation of China under Grant No. 51279033, and National Science Foundation of Heilongjiang Province, China under Grant No. F201346
Corresponding author:Xiukun Li, Email: lixiukun@hrbeu.edu.cn
Last Update: 2017-05-09