A new detection model of ship-radiated noise signal

被引:10
|
作者
Li, Guohui [1 ]
Liu, Feng [1 ]
Yang, Hong [1 ]
机构
[1] Xian Univ Posts & Telecommun, Sch Elect Engn, Xian 710121, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Ship-radiated noise signal; Detect; Chaos; Entropy; Chaotic threshold; DUFFING OSCILLATOR; FEATURE-EXTRACTION; DECOMPOSITION;
D O I
10.1016/j.oceaneng.2024.117081
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
With the continuous improvement of ship building technology in various countries, the ship-radiated noise signal (SRNS) in the ocean is becoming weaker and weaker, which makes the detection of SRNS more and more difficult. To improve the detection technology of SRNS, the thesis used the detection method based on the chaotic oscillator. To determine the chaotic threshold, an improved refined composite multiscale fluctuation-based reverse dispersion entropy (IRCMFRDE) is proposed. To detect the SRNS with a lower threshold of signalnoise ratio (SNR), after the chaotic threshold has been determined, proposed a detection method of SRNS with variable scale and variable step-size intermittent chaos based on differential double-coupled Van der PolDuffing (DCV-D) oscillator. For signals with unknown frequencies, the lowest SNR that can be detected by the proposed method is 5.6165 dB and 7.3595 dB lower than that of the existing variable step-size intermittent chaos detection methods based on DCV-D oscillator and differential DCV-D oscillator respectively. When cosine simulated signals under different background noises are used for detection, the accuracy rate of the proposed method is 99.81% and 98.95% respectively. When the measured signals (MS) are used for detection, the accuracy rate of the proposed method is 99.95%, 99.53%, and 99.56%. These results confirm the superior performance of the proposed detection method. To better demonstrate the superior performance of the threshold determination and the proposed detection method, we provide some experimental results in the supplementary material.
引用
收藏
页数:20
相关论文
共 50 条
  • [41] Dual feature extraction system for ship-radiated noise and its application extension
    Yang, Hong
    Yang, Xiaodie
    Li, Guohui
    OCEAN ENGINEERING, 2023, 285
  • [42] Joint Representation and Recognition for Ship-Radiated Noise Based on Multimodal Deep Learning
    Yuan, Fei
    Ke, Xiaoquan
    Cheng, En
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2019, 7 (11)
  • [43] Discriminative Ensemble Loss for Deep Neural Network on Classification of Ship-Radiated Noise
    He, Lei
    Shen, Xiaohong
    Zhang, Muhang
    Wang, Haiyan
    IEEE SIGNAL PROCESSING LETTERS, 2021, 28 : 449 - 453
  • [44] Feature extraction and recognition of ship-radiated noise based on empirical mode decomposition
    Zhang, Y. H.
    Yang, L.
    DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2006, 13E : 1316 - 1319
  • [45] Simulation of Dynamic Ship Radiated Noise Signal
    Zheng, Yuan
    Jiang, Bin
    Yang, Gang
    PROCEEDINGS OF 2020 IEEE 15TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP 2020), 2020, : 636 - 639
  • [47] Bayesian geoacoustic inversion in shallow water with vertical coherence of ship-radiated noise
    Liu, Hong
    Wang, Bin
    Fan, Jun
    Yang, Kunde
    APPLIED ACOUSTICS, 2023, 208
  • [48] Feature extraction of ship-radiated noise using higher-order spectrum
    FAN Yangyu
    SHANG Jiuhao (Northwest Institute of Light Industry Xian’yang 712081) SUN Jincai
    LI Pingan
    XU Jiadong (Northwestern Polytechnical University Xi’an 710072)
    Chinese Journal of Acoustics, 2000, (02) : 159 - 165
  • [49] A feature extraction method of ship-radiated noise based on mathematical morphological filtering
    Li, Zhao-xi
    Li, Ya-an
    Zhang, Kai
    JOURNAL OF VIBRATION AND CONTROL, 2022, 28 (23-24) : 3664 - 3675
  • [50] Using Feature Extraction to Perform Equipment Health Monitoring on Ship-Radiated Noise
    Marasco, Nicholas
    Elghamrawy, Haidy
    Mcgaughey, Donald
    ACOUSTICS, 2023, 5 (04): : 1180 - 1193