Application of inverse filtering techniques in the sea bottom recognition

• Autorzy: Łubniewski Z. , Moszyński M. , Stepnowski A.
• Konferencja: Proceedings of the 2 nd EAA International Symposium on Hydroacoustics 24-27 May 1999, Gdańsk-Jurata POLAND
• Języki publikacji: EN

Abstrakty

EN

The paper presents the newly developed approach to the sea bottom recognition and identification, which uses inverse filtering techniques to extract bottom scattering properties from a single-beam echosounder signal. Using simple physical model, the developed inverting procedure allows to remove the influence of pulse shape, beam pattern and model geometry upon the backscattered echo. 11permits to obtain the seabed impulse response which is directly related to the function describing the angular dependence of bottom reverberation coefficient. Various direct and iterative inverse methods can be applied to the mentioned problem. The results of testing the method using echoes from several bottom types are in agreement with the predictions of theoretical models. Moreover, the proposed bottom classification procedure uses simple parameters of deconvolved function and the obtained classification results are better than those of ofher bottom identification methods of normal incidence.

• Wydawca: Polskie Towarzystwo Akustyczne. Oddział Gdański
• Czasopismo: Hydroacoustics
• Rocznik: 1999
• Tom: Vol. 2
• Strony: 95--100
• Opis fizyczny: Bibliogr. 10 poz., rys.

Twórcy

autor

Łubniewski Z.

• Technical University of Gdańsk, Acoustics Department, ul. Narutowicza 11112, 80-952 Gdańsk, POLAND

autor

Moszyński M.

• Technical University of Gdańsk, Acoustics Department, ul. Narutowicza 11112, 80-952 Gdańsk, POLAND

autor

Stepnowski A.

• Technical University of Gdańsk, Acoustics Department, ul. Narutowicza 11112, 80-952 Gdańsk, POLAND

Bibliografia

• [1] A. Caiti, R. Zoppoli, Seafloor parameters identification from parametric sonar data, Proceedings of the 4 th European Symposium on Underwater Acoustics, Rome, pp. 307-312, (1998).
• [2] R. C. Chivers, N. Emerson, D. R. Bums, New acoustic processing for underway surveying, The Hydrographic Journal 56, pp. 8-17, (1990).
• [3] Z. Klusek, A. Śliwiński, J. Tęgowski, Characteristic properties of bottom backscattering in the South Baltic Sea, Proceedings of the 2 nd European Conference on Underwater Acoustics, Copenhagen, pp. 105- 110, (1994).
• [4] Z. Łubniewski, A. Stepnowski, Application of the fractal analysis in the sea bottom recognition, Archives of Acoustics 23, 4, pp. 499-511, (1998).
• [5] Z. Łubniewski, A. Stepnowski, Sea bottom recognition using fractal analysis and scattering impulse response, Proceedings of the 4 th European Conference on Underwater Acoustics, Rome, pp. 179-184, (1998).
• [6] J. Maciolowska, A. Stepnowski, T. V. Dung, Fish schools and seabed identification using neural networks and fuzzy logic classifiers, Proceedings of the 4 th European Conference on Underwater Acoustics, Rome, pp. 275-280, (1998).
• [7] E. Pouliquen, X. Lurton, Identification de la nature des fonds marins a l'aide de signaux d'echo-sondeurs - I. Modelisation des echos reverberes par le fond, Acta Acustica 2(1), pp. 113-126, (1994).
• [8] A Stepnowski, Comparison of the novel inverse techniques for fish target strength estimation [invited paper], Proceedings of the 4 th European Conference on Underwater Acoustics, Rome, pp. 187-192, (1998).
• [9] A Stepnowski, M. Moszyński, R. Komendarczyk, J. Burczyński, Visual real-time Bottom Typing System (VBTS) and neural networks experiment for sea bed cIassification, Proceedings of the 3rd European Conference on Underwater Acoustics, Heraklion, pp. 685-690, (1996).
• [10] D. D. Sternlicht, C. de Moustier, Temporal modelling of high frequency (30 - 100 kHz) acoustic seafloor backscatter: shallow water results, Saclantcen Conference Proceedings Series CP-45, High Frequency Acoustics in Shallow Water, La Spezia, pp. 509-516, (1997).