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[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()
基于谱不规律性特征的水中目标宽带回波检测
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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
基于谱不规律性特征的水中目标宽带回波检测
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
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1大连理工大学船舶工程学院, 大连 116024, 中国; 2水下测控技术重点实验室, 大连 116013, 中国
Keywords:
echo;  reverberation;  signal spectral irregularity
回波;  混响;  信号谱不规律性
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.
针对强混响干扰背景下的水中目标回波分辨问题, 研究了水中宽带回波频谱的起伏特性, 并采用谱不规律性对宽带回波信号的频谱起伏进行表征, 建立了水中目标回波频谱不规律性特征与目标属性参数之间的关联关系.基于回波与混响的谱不规律性特征提出了一种混响背景下水中目标宽带回波检测方法, 该方法能够对混响与目标回波进行分辨.复杂目标的理论仿真结果表明, 在信混比低至-10 dB时, 基于谱不规律性特征, 仍然可以分辨回波和混响, 复杂目标海试数据测试结果表明信混比低于0 dB时, 混响背景下回波可以有效检测, 理论和试验测试结果验证了该方法对混响背景下宽带回波检测的有效性.

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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