|Table of Contents|

[1] Chen Yunfei, Li Sheng, Jia Bing, et al. Broadband underwater target echo detectionbased on signal spectral irregularity feature [J]. Journal of Southeast University (English Edition), 2018, 34 (2): 147-155. [doi:10.3969/j.issn.1003-7985.2018.02.002]
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Broadband underwater target echo detectionbased on signal spectral irregularity feature()
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
34
Issue:
2018 2
Page:
147-155
Research Field:
Mathematics, Physics, Mechanics
Publishing date:
2018-06-20

Info

Title:
Broadband underwater target echo detectionbased on signal spectral irregularity feature
Author(s):
Chen Yunfei1;  2;  Li Sheng1;  Jia Bing2;  Wang Zhenshan2;  Li Guijuan2
1 School of Naval Architecture, Dalian University of Technology, Dalian 116024, China
2 Science and Technology on Underwater Test and Control Laboratory, Dalian 116013, China
Keywords:
echo;  reverberation;  signal spectral irregularity
PACS:
TB566
DOI:
10.3969/j.issn.1003-7985.2018.02.002
Abstract:
For the detection of underwater target echo under strong interferences, the modulation feature of direct echo signal and reverberation spectrum are characterized by the signal spectral irregularity feature, and the relationship between signal spectral irregularity and target physical properties is theoretically formed. A novel method of broadband underwater target echo detection under reverberation based on the signal spectral irregularity characteristics is proposed. The proposed method has the capability of discriminating between the direct target echo signal from reverberation. Simulation results of complex underwater target broadband acoustic scattering show that the echo can be detected even with the signal to reverberation ratio(SRR)below -10 dB by the proposed method based on the spectral irregularity(SI)feature. The corresponding sea experimental results also show that echo can be detected when the SRR is below 0 dB. The effectiveness and correctness of the proposed method are verified both in simulated data and in real data in sea experiment.

References:

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Memo

Memo:
Biographies: Chen Yunfei(1978—), male, Ph.D. candidate; Li Sheng(corresponding author), male, doctor, professor, shengli@dlut.edu.cn.
Foundation item: The 13th Five-Year Plan for Advanced Research Program(No.41416030301).
Citation: Chen Yunfei, Li Sheng, Jia Bing, et al.Broadband underwater target echo detection based on signal spectral irregularity feature[J].Journal of Southeast University(English Edition), 2018, 34(2):147-155.DOI:10.3969/j.issn.1003-7985.2018.02.002.
Last Update: 2018-06-20