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Modeling and characteristic analysis of underwater acoustic signal of the accelerating propeller

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Abstract

The signal feature of propeller cavitation noise during acceleration or deceleration procedure can be used to passively detect and classify moving vessels and underwater vehicles in the port regions. By analyzing the chirp periodicity of the variation of propeller wake velocity under acceleration situation, this paper presents a time domain expression of the modulation envelope signal of the accelerating propeller noise, treating the signal as a Gaussian-shaped chirp periodic pulse train with increasing trend and fluctuating pulse amplitude. The paper investigates the characteristics of simplified fractional Fourier transform (SFRFT) spectrum of the chirp periodic signal, and thus obtains the relation between the chirp periodic signal and its chirp harmonics under the conditions of underwater passive detection. Furthermore, the experimental data of the cavitation tunnel satisfy the results obtained by simulation, which verifies the correctness of the proposed signal model.

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References

  1. Smookler M S, Clark B G, Ostrander J M. Underwater detection and surveillance technology for commercial port and vessel security. In: Proc MTS/IEEE OCEANS, Washington DC, USA, 2005. 935–940

  2. Bick E T, Barock R T. CENTURION harbor surveillance test bed. In: Proc MTS/IEEE OCEANS, Washington DC, USA, 2005. 1358–1363

  3. James S, Warren D, Meggitt D. Naval maritime security test and evaluation site (NMSTES). In: Proc MTS/IEEE OCEANS, Washington DC, USA, 2005. 1841–1843

  4. Johnson E A. Unmanned undersea vehicles and guided missile submarines: Technological and operational synergies. Occasional Paper No. 27, 2002

  5. Asada A, Kuramoto K, Tanaka T, et al. Development of underwater security sonar system. In: Proc MTS/IEEE OCEANS, Singapore, 2007. 1–3, 16–19

    Google Scholar 

  6. Asada A, Maeda F, Kuramoto K, et al. Advanced surveillance technology for underwater security sonar systems. In: Proc IEEE OCEANS’07, Aberdeen, UK, 2007. 1–5

  7. Ross D. Mechanics of Underwater Noise. 3rd ed. Los Altos: Peninsula Publishing, 1983. 253–285

    Google Scholar 

  8. Tao D C. Spectrum of propeller cavitation noise (in Chinese). Acta Acustica, 1982, 7: 344–351

    Google Scholar 

  9. Etter P C. Underwater Acoustic Modeling and Simulation. 3rd ed. New York: Spon Press, 2003

    Book  Google Scholar 

  10. Tao D C. A Study on ship-radiated noise rhythms (I)-mathematical model and power spectrum density. Chin J Acoustics, 1985, 4: 244–256

    Google Scholar 

  11. Kummert A. Fuzzy technology implemented in sonar system. IEEE J Oceanic Eng, 1993, 18: 483–490

    Article  Google Scholar 

  12. Lourens J G, du Prcez J A. Passive sonar ML estimator for ship propeller speed. IEEE J Oceanic Eng, 1998, 23: 448–453

    Article  Google Scholar 

  13. Nielsen R O. Sonar Signal Analysis. Boston: Artech House, 1991. 95–140

    Google Scholar 

  14. Marián K, Luis W. Adaptive chirp-based time-frequency analysis of speech signals. Speech Commun, 2006, 48: 474–492

    Article  Google Scholar 

  15. Luis W, Marián K. Self-organizing chirp-sensitive artificial auditory cortical model. In: Proc Interspeech, Lisbon, Portugal, 2005. 705–708

  16. Pei S C, Ding J J. Simplified fractional Fourier transforms. J Opt Soc Am A, 2000, 17: 2355–2367

    Article  MathSciNet  Google Scholar 

  17. Qi L, Tao R, Zhou S Y, et al. Detection and parameter estimation of multicomponent LFM signal based on the fractional Fourier transform. Sci China Ser F-Inf Sci, 2004, 47: 184–198

    Article  MathSciNet  MATH  Google Scholar 

  18. Mann S, Haykin S. The chirplet transform: Physical considerations. IEEE Trans Signal Process, 1995, 43: 2745–2761

    Article  Google Scholar 

  19. John C C, Robert N M. Synthetic Aperture Radar: Systems and Signal Processing. New York: John Wiley, 1991. 142–147

    MATH  Google Scholar 

  20. Haykin S, Veen B. Signals and Systems. 2nd ed. New York: John Wiley, 2002. 775

    Google Scholar 

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Correspondence to Ran Tao.

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Feng, Y., Tao, R. & Wang, Y. Modeling and characteristic analysis of underwater acoustic signal of the accelerating propeller. Sci. China Inf. Sci. 55, 270–280 (2012). https://doi.org/10.1007/s11432-011-4285-9

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  • DOI: https://doi.org/10.1007/s11432-011-4285-9

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