Sonar modelling

• Autorzy: Rendas M. J. , Bienvenu G.
• Konferencja: Proceedings of the 2 nd EAA International Symposium on Hydroacoustics 24-27 May 1999, Gdańsk-Jurata POLAND
• Języki publikacji: EN

Abstrakty

EN

Extension of the operational range of underwater location techniques has required incorporation of reliable acoustic propagation models, that closely predict oceans' behavior. While opening new possibilities, such as the use of focusing techniques in parallel with existing localization methods, this evolution also resulted in increased sensitivity to the accuracy of the models used. We show how a performance analysis tool based on information theoretic measures o] model resemblance can be used in this context in two distinct ways. The first enables the analysis of the sensitivity to the propagation model, and thus identifying the most critical model parameters, for which accurate estimates must be provided. In the second, we discuss how a priori knowledge of the model structure can be exploited to improve performance of focusing/localization methods.

• Wydawca: Polskie Towarzystwo Akustyczne. Oddział Gdański
• Czasopismo: Hydroacoustics
• Rocznik: 1999
• Tom: Vol. 2
• Strony: 115--120
• Opis fizyczny: Bibliogr. 10 poz., rys.

Twórcy

autor

Rendas M. J.

• Laboratoire 13S, CNRS - Univ. Nice Sophia Antipolis, France

autor

Bienvenu G.

• Thomson Marconi Sonar, BP. 157,06903 Sophia Antipolis Cedex, France

Bibliografia

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• [2] Peter Gerstoff. Inversion of seismoa.coustics data using genetic algorithms and a posteriori probability distributions. J. Acoustic Soc. America, 95:770-782, 1994.
• [3] J. H. Holland. Adaptation in natural and Artificial Systems. AnnArbor: The University of Michigan Press, 1975.
• [4] Solomon Kullback. Information Theory and Statistics. Peter Smith, 1978.
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• [6] José M. F. Moura.and M. João Rendas and Georges Bienvenu Environmental limits to source Iocalization. In Ini. Gonf. on Acoustic, Speech and Signal Processing 95, Detroit, USA, May 1995.
• [7] José M. F. Moura et MiJoao Rendas. Ambiguity function in sonar. In Proceedings of the 1992 ASILOMAR Conference, Monterey, CA, USA, October 1992.
• [8] M. S. Pinsker. Information and Information Stability of Random Variabies and Processes. Holden-Day, Inc., 1964.
• [9] M. João D. Rendas and José M. F. Moura. Ambiguity analysis in source localization with unknown signals. In Int. Conf. on Acoustic, Speech and Signal Processing 91, Toronto, Ganada, May 1991.
• [10] M. João D. Rendas and Jose M. F. Moura. Ambiguity analysis in source location. IEEE Trans. Signal Processing, Vol. 46, No. 2, pp:294-305, February 1998.