Analysis of underwater transient signals and their detection by spectral correlation

被引:0
|
作者
Wu, Guoqing [1 ]
Chen, Yongqiang [1 ]
Li, Leqiang [1 ]
Xiao, Long [1 ]
机构
[1] Inst of Acoustics, Chinese Acad of Science, Beijing, China
来源
Shengxue Xuebao/Acta Acustica | 2000年 / 25卷 / 06期
关键词
Acoustic signal processing - Correlation methods - Pattern recognition - Spectrum analysis - Underwater acoustics;
D O I
暂无
中图分类号
学科分类号
摘要
The features of the transient signals produced by vessel are investigated using normalized short time spectrum. The survey covers 4 hour data recorded on the sea including 43-vessel noise. Some typical kinds of time-frequency distribution of passive transient signals are categorized. The spectral correlation (second order cumulant spectrum) is adopted to detect passive underwater transient signals. The analysis of 18 underwater transient signals demonstrates the significant processing gains. The last section of the paper analyzes the modes of these passive transient signals using spectral correlation. The modes-one mono, another triple and third penta are distinctively identifiable, presenting themselves as useful features in classification of transient signals.
引用
收藏
页码:510 / 515
相关论文
共 50 条
  • [31] USE OF SPECTRAL ANALYSIS FOR DETECTION OF DEGREE OF RELATIONSHIP OF EEG SIGNALS
    RAPPELSBERGER, P
    ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY, 1976, 41 (02): : 188 - 189
  • [32] Detection of upper airway obstructions by spectral analysis of breathing signals
    Elad, David
    Zaretsky, Uri
    Soffer, Guy
    Wolf, Michael
    Shiner, Robert J.
    American Society of Mechanical Engineers, Bioengineering Division (Publication) BED, 1999, 42 : 97 - 98
  • [33] Leak detection using cepstrum of cross-correlation of transient pressure wave signals
    Motazedi, Niloufar
    Beck, Stephen
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2018, 232 (15) : 2723 - 2735
  • [34] Intelligent Detection with Dual-channel Detectors for Non-Gaussian Underwater Acoustic Transient Signals
    Xing, Jun
    Liu, Zhong
    Peng, Pengfei
    2008 INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION, VOLS 1-4, 2008, : 820 - 825
  • [35] Fault detection of rolling bearings based on encoder signals via cyclic spectral correlation
    Tian T.
    Guo Y.
    Yang X.
    Zou X.
    Chen X.
    Zhendong yu Chongji/Journal of Vibration and Shock, 2023, 42 (16): : 202 - 208
  • [36] Underwater Cylindrical Object Detection Using the Spectral Features of Active Sonar Signals with Logistic Regression Models
    Seo, Yoojeong
    On, Baeksan
    Im, Sungbin
    Shim, Taebo
    Seo, Iksu
    APPLIED SCIENCES-BASEL, 2018, 8 (01):
  • [37] Detection of underwater acoustic DSSS signals using the cepstrum method based on a power spectral density average
    Shanghai Marine Electronic Equipment Research Institute, Shanghai 201108, China
    Harbin Gongcheng Daxue Xuebao, 7 (863-867): : 863 - 867
  • [38] Research on laser detection of underwater acoustic signals
    Li Tian-song
    Zhou Tian-hua
    He ning
    Zhang De-kun
    Li Yi-han
    INTERNATIONAL SYMPOSIUM ON PHOTOELECTRONIC DETECTION AND IMAGING 2007: LASER, ULTRAVIOLET, AND TERAHERTZ TECHNOLOGY, 2008, 6622
  • [39] Classification of underwater transient signals using MFCC feature vector
    Lim, Taegyun
    Bae, Keunsung
    Hwang, Chansik
    Lee, Hyeonguk
    2007 9TH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, VOLS 1-3, 2007, : 987 - +
  • [40] Detection of zero-Doppler underwater signals
    Aineto, M
    Lawson, S
    ELECTRONICS LETTERS, 1998, 34 (19) : 1813 - 1814