• Acta Physica Sinica
  • Vol. 69, Issue 16, 164301-1 (2020)
De-Zhi Kong1、2, Chao Sun1、2、*, and Ming-Yang Li3
Author Affiliations
  • 1School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China
  • 2Key Laboratory of Ocean Acoustics and Sensing, Northwestern Polytechnical University, Xi’an 710072, China
  • 3College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310058, China
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    DOI: 10.7498/aps.69.20191948 Cite this Article
    De-Zhi Kong, Chao Sun, Ming-Yang Li. Weighted subspace detection method based on modal attenuation law in shallow water[J]. Acta Physica Sinica, 2020, 69(16): 164301-1 Copy Citation Text show less
    The shallow water waveguide and its environmental parameters.
    Fig. 1. The shallow water waveguide and its environmental parameters.
    Detection performance curves of the MSD under various numbers of normal modes: (a) Probabilities of detection versus SNRs, ; (b) probabilities of detection versus probabilities of false alarm, .
    Fig. 2. Detection performance curves of the MSD under various numbers of normal modes: (a) Probabilities of detection versus SNRs, ; (b) probabilities of detection versus probabilities of false alarm, .
    The processing gains of the MSD versus the numbers of normal modes.
    Fig. 3. The processing gains of the MSD versus the numbers of normal modes.
    The processing gains of MSSD versus the orders of normal modes.
    Fig. 4. The processing gains of MSSD versus the orders of normal modes.
    Detection performance curves of the MSD, WMSSD and OWMSSD with f = 100 Hz: (a) Probabilities of detection versus SNR, ; (b) probabilities of detection versus probabilities of false alarm, .
    Fig. 5. Detection performance curves of the MSD, WMSSD and OWMSSD with f = 100 Hz: (a) Probabilities of detection versus SNR, ; (b) probabilities of detection versus probabilities of false alarm, .
    Detection performance curves of the MSD, WMSSD and OWMSSD with f = 300 Hz: (a) Probabilities of detection versus SNR, ; (b) probabilities of detection versus probabilities of false alarm, .
    Fig. 6. Detection performance curves of the MSD, WMSSD and OWMSSD with f = 300 Hz: (a) Probabilities of detection versus SNR, ; (b) probabilities of detection versus probabilities of false alarm, .
    The processing gains of the MSD, WMSSD and OWMSSD versus acoustic source locations with f = 300 Hz: (a) MSD; (b) WMSSD; (c) OWMSSD.
    Fig. 7. The processing gains of the MSD, WMSSD and OWMSSD versus acoustic source locations with f = 300 Hz: (a) MSD; (b) WMSSD; (c) OWMSSD.
    The modal depth functions and their turning-depths with f = 300 Hz: (a) Each modal depth function in the waveguide; (b) the turning-depth of each modal depth function.
    Fig. 8. The modal depth functions and their turning-depths with f = 300 Hz: (a) Each modal depth function in the waveguide; (b) the turning-depth of each modal depth function.
    The weighting coefficients and the processing gains of the MSSD with f = 300 Hz and source range of 15 km: (a) Source depth of 10 m; (b) source depth of 80 m.
    Fig. 9. The weighting coefficients and the processing gains of the MSSD with f = 300 Hz and source range of 15 km: (a) Source depth of 10 m; (b) source depth of 80 m.
    The critical depths versus ranges under various frequencies.
    Fig. 10. The critical depths versus ranges under various frequencies.
    The weighting coefficients and the processing gains of the MSSD with f = 300 Hz, source depth of 10 m and source range of 25 km.
    Fig. 11. The weighting coefficients and the processing gains of the MSSD with f = 300 Hz, source depth of 10 m and source range of 25 km.
    Constant sound velocity profile (SVP) and positive gradient SVP.
    Fig. 12. Constant sound velocity profile (SVP) and positive gradient SVP.
    The turning-depth of each modal depth function with f = 300 Hz.
    Fig. 13. The turning-depth of each modal depth function with f = 300 Hz.
    Each modal depth function in the two kinds of waveguides with f = 300 Hz: (a) Constant SVP; (b) positive gradient SVP.
    Fig. 14. Each modal depth function in the two kinds of waveguides with f = 300 Hz: (a) Constant SVP; (b) positive gradient SVP.
    The processing gains of the WMSSD versus acoustic source locations with f = 300 Hz: (a) Constant SVP; (b) positive gradient SVP.
    Fig. 15. The processing gains of the WMSSD versus acoustic source locations with f = 300 Hz: (a) Constant SVP; (b) positive gradient SVP.
    De-Zhi Kong, Chao Sun, Ming-Yang Li. Weighted subspace detection method based on modal attenuation law in shallow water[J]. Acta Physica Sinica, 2020, 69(16): 164301-1
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