International Journal of Naval Architecture and Ocean Engineering

  • 제10권2호
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  • Pages.225-234
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  • 2018
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  • 2092-6782(pISSN)
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  • 2092-6790(eISSN)
대한조선학회 (The Society of Naval Architects of Korea)
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Numerical modeling and simulation technique in time-domain for multibeam echo sounder

  • Jung, Donghwan (Laboratory for Underwater Acoustics, Korea Maritime and Ocean University) ;
  • Kim, Jeasoo (Laboratory for Underwater Acoustics, Korea Maritime and Ocean University) ;
  • Byun, Gihoon (Department of Convergence Study on the Ocean Science and Technology, Korea Maritime and Ocean University)
  • 투고 : 2016.07.06
  • 심사 : 2017.08.15
  • 발행 : 2018.03.31
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초록

A Multibeam Echo Sounder (MBES) is commonly used for rapid seafloor mapping. We herein present a time-domain integrated system simulation technique for MBES development. The Modeling and Simulation (M&S) modules consist of four parts: sensor array signal transmission, propagation and backscattering modeling in the ocean environment, beamforming of the received signals, and image processing. Also, the simulation employs a ray-theory-based algorithm to correct the reconstructed bathymetry, which has errors due to the refraction caused by the vertical sound velocity profile. The developed M&S technique enables design parameter verification and system parameter optimization for MBES. The framework of this technique can also be potentially used to characterize the seabed properties. Finally, typical seafloor images are presented and discussed.

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참고문헌

  1. Burdic, W.S., 1984. Underwater Acoustic System Analysis. Prentice-Hall, Upper Saddle River.
  2. de Moustier, C., 1986. Beyond bathymetry: mapping acoustic backscattering from the deep seafloor with sea beam. J. Acoust. Soc. Amer. 79, 316-331. https://doi.org/10.1121/1.393570
  3. De Plaa, J., Snellen, M., Simons, D.G., 2008. Correcting bathymetry measurements for water sound speed effects using inversion theory. J. Acoust. Soc. Amer. 123, 3352. https://doi.org/10.1121/1.2933917
  4. Dinn, D.F., Loncarevic, B.D., Costello, G., 1995. The effect of sound velocity error on multi-beam sonar depth accuracy. In: Proc. MTS/IEEE Oceans'95-challenges of Our Changing Global Environment 2 (San Diego, California, 1995), pp. 1001-1010.
  5. Farr, H.K., 1980. Multi-beam bathymetry sonar: sea beam and hydrochart. Mar. Geod. 4, 77. https://doi.org/10.1080/15210608009379375
  6. Ioannides, P., Balanis, C.A., 2005. Uniform circular and rectangular arrays for adaptive beamforming applications. IEEE Antenn. Wirel. P. R. 4, 351-354. https://doi.org/10.1109/LAWP.2005.857039
  7. Hughes Clarke, J.E., 2006. Applications of multibeam water column imaging for hydrographic survey. Hydrog. J. 120, 3.
  8. Kammerer, E., 2000. A New Method for the Removal of Refraction Artifacts in Multibeam Echosounder Systems. Ph.D thesis. University of New Brunswick.
  9. L-3 Communications SeaBeam Instruments, 2000. Multibeam Sonar Theory of Operation. East Walpole. https://www.ldeo.columbia.edu/res/pi/MB-System/sonarfunction/SeaBeamMultibeamTheoryOperation.pdf.
  10. Li, H., Li, S., Chen, B., Xu, C., Zhu, J., 2014. Research on ship wake acoustic imaging based on multi-beam sonar. In: Proc. MTS/IEEE Oceans'14 (St. John's, Canada, 2014), pp. 1-5.
  11. Tonchia, H., Bisquay, H., 1996. The effect of sound velocity on wide swath multibeam system data. In: Proc. MTS/IEEE Oceans'96-prospects for the 21stCentury 2 (Fort Lauderdale, Florida, 1996), pp. 969-974.
  12. Urick, R.J., 1983. Principles of Underwater Sound, third ed. McGrawHill, NewYork.
  13. Van Veen, B.D., Buckley, K.M., 1988. Beamforming: a versatile approach to spatial filtering. IEEE ASSP Mag. 5, 4-24.
  14. Yang, L., Taxt, T., 1997. Multibeam sonar bottom detection using multiple subarrays. In: Proc. OCEANS '97, vol. 2, pp. 932-938.
  15. Yu, J., Henrys, S.A., Brown, C., Marsh, I., Duffy, G., 2015. A combined boundary integral and Lambert's law method for modelling multibeam backscatter data from the seafloor. Cont. Shelf Res. 103, 60-69. https://doi.org/10.1016/j.csr.2015.04.020

피인용 문헌

  1. Sound velocity profile estimation using ray tracing and nature inspired meta‐heuristic algorithms in underwater sensor networks vol.13, pp.5, 2018, https://doi.org/10.1049/iet-com.2018.5106
  2. Characterizing the THREE‐DIMENSIONAL distribution of schooling reef fish with a portable multibeam echosounder vol.19, pp.5, 2018, https://doi.org/10.1002/lom3.10427