• 中国科技核心期刊
  • Scopus收录期刊
  • DOAJ收录期刊
  • JST收录期刊
  • Euro Pub收录期刊
Volume 28 Issue 5
 
Turn off MathJax
Article Contents
Article Navigation >  Journal of Unmanned Undersea Systems  > 2020  >  28(5): 480-496
XIAN Min-yuan, ZHAO Chun-yan, HE Ke, WANG Dong-shi, FU Jin-bao, Lü Xiao-peng, JI Zhao-sheng. Optimal Approach of Weak Underwater Acoustic Signal Detection Based on Passive Time-Reversal Stochastic Resonance[J]. Journal of Unmanned Undersea Systems, 2020, 28(5): 480-496. doi: 10.11993/j.issn.2096-3920.2020.05.002
Citation: XIAN Min-yuan, ZHAO Chun-yan, HE Ke, WANG Dong-shi, FU Jin-bao, Lü Xiao-peng, JI Zhao-sheng. Optimal Approach of Weak Underwater Acoustic Signal Detection Based on Passive Time-Reversal Stochastic Resonance[J]. Journal of Unmanned Undersea Systems, 2020, 28(5): 480-496. doi: 10.11993/j.issn.2096-3920.2020.05.002
shu

Optimal Approach of Weak Underwater Acoustic Signal Detection Based on Passive Time-Reversal Stochastic Resonance

doi: 10.11993/j.issn.2096-3920.2020.05.002
  • 1.

    China Oilfield Services Limited, Sanhe 065201, China

  • 2.

    School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China

  • Received Date: 2020-01-06
  • Rev Recd Date: 2020-03-16
  • Publish Date: 2020-10-31
    Abstract
  • The multipath effect in channel transmission and the low signal-to-noise ratio(SNR) of the received signal significantly increases the difficulty in underwater weak signal detection. Herein, based on a theoretical model of underwater acoustic rays, an optimal detection method for underwater weak signal parameters based on passive-time-reversal stochastic resonance(PTR-SR) is proposed. This method combines the advantages of time-reversal and stochastic resonance, uses a time reversal method to transform underwater multipath interference into signal gain, and uses the stochastic resonance method to transfer part of the noise energy into the target signal. Furthermore, by deducing the optimal solution of the gain amplitude parameter Asr, the SNR gain of the received signal in the lower SNR region is further improved, and a simulation is performed. The simulation results show that the PTR-SR combined detection method performs better than the traditional method. It can effectively enhance the signal input–output SNR gain and detect weak signals more effectively at lower SNRs, providing a new theoretical and technical support for underwater weak signal detection technology.

     

    • FullText(HTML)
  • loading
    • References(13)
  • [1]
    Wu Y Y, Zhou Y H, Tong F, et al. Implementation and Evaluation of the Time Reversal OFDM Underwater Acoustic Speech Communication System[C]//OCEANS 2016. Shanghai: IEEE, 2016.
    [2]
    Su L Y, Deng L, Zhu W L, et al. Detection and Extraction of Weak Pulse Signals in Chaotic Noise with PTAR and DLTAR Models[J]. Mathematical Problems in Engineering, 2019, 16(8): 120-131.
    [3]
    Liu W, Ma Z S, Sun H G. Summary of Weak Signal Detection and Processing Methods[C]//2018 International Conference on Mechanical, Electronic, Control and Automation Engineering. Qingdao: MECAE, 2018.
    [4]
    Zhou Y H, Li F L, Chen K, et al. Research on Time Reversal Spread Spectrum Underwater Acoustic Communication under Low SNR[J]. Journal of Electronics & Information Technology, 2012, 34(7): 1685-1689.
    [5]
    国强, 赵莹. 基于时反-压缩感知的浅海目标DOA估计算法[J]. 哈尔滨工业大学学报, 2019, 5(11): 152-159.

    Guo Qiang, Zhao Ying. DOA Estimation Algorithm for Shallow Water Targets Based on Time Reversal-compression Perception[J]. Journal of the Harbin Institute of Technology, 2019, 5(11): 152-159.
    [6]
    荆海霞, 王海燕, 刘郑国, 等. 基于主动时反的浅海目标DOA估计优化算法[J]. 西北工业大学学报, 2018, 36(2): 270-275.

    Jing Hai-xia, Wang Hai-yan, Liu Zheng-guo, et al. DOA Estimation Algorithm for Shallow Water Targets Based on Active Time Reversal[J]. Journal of the Northwestern Polytechnical University, 2018, 36(2): 270-275.
    [7]
    Sabra K G, Roux P, Song H C, et al. Experimental Demonstration of Iterative Time-reversed Reverberation Focusing in a Rough Waveguide. Application to Target Detection[J]. The Journal of the Acoustical Society of America, 2006, 120(3): 1305-1314.
    [8]
    范剑, 赵文礼, 张明路, 等. 随机共振动力学机理及其微弱信号检测方法的研究[J]. 物理学报, 2014, 63(11): 111-121.

    Fan Jian, Zhao Wen-li, Zhang Ming-lu, et al. Study on Stochastic Resonance Dynamic Mechanism and Weak Signal Detection Method[J]. Acta Physica Sinica, 2014, 63(11): 111-121.
    [9]
    Leng Y G, Wang T Y. Numerical Research of Twice Sampling Stochastic Resonance for the Detection of a Weak Signal Submerged in a Heavy Noise[J]. Acta Physica Sinica, 2003, 52(10): 2432-2437.
    [10]
    Lai Z H, Leng Y G. Generalized Parameter-Adjusted Stochastic Resonance of Duffing Oscillator and Its Application to Weak-Signal Detection[J]. Sensors, 2015, 15(9): 21327-21349.
    [11]
    Dong H T, Wang H Y, et al. Effects of Second-Order Matched Stochastic Resonance for Weak Signal Detection[J]. IEEE ACCESS, 2018, 6(1): 46505-46515.
    [12]
    Dong H T, Wang H Y, Shen X H, et al. Parameter Matched Stochastic Resonance with Damping for Passive Sonar Detection[J]. Journal of Sound and Vibration, 2019, 458(1): 479-496.
    [13]
    Liu L, Shen X H, Ma S L, et al. The Performance of Weak Underwater Acoustic Signal Detection Based on Passive Time Reversal and Stochastic Resonance[C]//FSDM. Bangkok, Thailand: IOS Press, 2018: 572-581.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML

    Article Metrics

    Article Views(325) PDF Downloads(181) Cited by()
    Proportional views
    Related
    Service
    Subscribe
    Copyright：陕ICP备09015163号Address:No. 96, Jinye Road, Xi'an, Shaanxi
    Code：710077Tel: 029-88327279QQ: 767358370
    Email: bianjibu705@sohu.com 767358370@qq.com
    Email Alert RSS
    Taobao
    Micro

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return