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Application of high resolution methods to underwater data processing

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Warianty tytułu
Konferencja
International Symposium on HYDROACOUSTICS AND ULTRASONICS EAA Symposium (formerly 13th FASE Symposium) Gdańsk-Jurata, 12-16 May 1997
Języki publikacji
EN
Abstrakty
EN
The statistical approach to the high resolution acoustic signal parameter estimation is considered. The models of the Green's function for a deterministic and a random oceanic waveguide are presented. A brief discussion of popular superresolution methods with application to direction-of-arrival (DOA) and travel time estimation is done. Application of high resolution methods (HRM) to underwater data processing requires that certain modeling assumptions be made. Using maximum likelihood theory, the optimum processing algorithm for amplitudes, angles of arrival and travel times estimation is developed. The proposed techniques take into account the deterministic and the stochastic structure of the acoustic field.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
209--212
Opis fizyczny
Bibliogr. 20 poz.
Twórcy
  • N.N. Andreyev Acoustics Institute Shvemika st. 4, Moscow 117036, RUSSIA
Bibliografia
  • 1. "Acoustic signal processing for ocean exploration", Proceedings of the NATO ASI, (eds.) J.M.F. Moura and I.M.G. Lourtie, 1992.
  • 2. "High resolution methods in underwater acoustics", G. Bienvenue and M. Bouvet, (eds.), Springer-Verlag, 1991.
  • 3. "Adaptive methods in underwater acoustics", Proceedings of the NATO ASI, (ed.) H.G. Urban, 1985.
  • 4. G.R. Minassian, Ph.D. Dissertation, N.N. Andreyev Acoustics lnstitute, Moscow, Oct.,1994. ( in Russian ).
  • 5. J.Capon, "High resolution frequency-wavenumber spectrum analysis," Proc. IEEE, vol. 57, 1408-1418, 1969.
  • 6. J. P. Burg, "Maximum entropy spectrum analysis", 37th Annual Meeting of Exploration Geophys., Oklahoma City, 1967.
  • 7. Y.F. Pisarenko, "The retrieval of harmonics from a covariance function", Geophys. J. R. Astr. Soc., Vol.33, 347-366, 1973.
  • 8. R. Schmidt, "Multiple emitter location and signal parameter estimation," Proc. RADC Spectral Estimation, Rome, New York, 243-258, 1979.
  • 9. G.Bienvenue, "Influence of the spatial coherence of the background noise on high resolution passive methods", Proceedings of the ICASSP-79, Washington DC, 306-309, 1979.
  • 10. R. Kumaresan, D.W. Tufts, "Estimating the angles of arrival of multiple pIane waves", IEEE Trans. AE8-19, 134-139,1983.
  • 11. P. Stoica, K. Sharman, "A novel eigenanalysis method for direction estimation," IEEE Proc. Part F, 19-26, 1990.
  • 12. M.Viberg, B. Ottersten, "Sensor array processing based on subspace fitting", IEEE Trans. ASSP-39, 1110-1121,1991.
  • 13. "Radar array processing", S. Haykin, J.Litva, T.J. Shepherd, (eds.), Springer-Verlag, 1993.
  • 14. P Stoica, A. Nehorai, "MUSIC, maximum likelihood, and Cramer-Rao bound", IEEE Trans. ASSP-37, 720- 741, 1989.
  • 15. P. Stoica and K. Sharman, "Maximum likelihood methods for direction-of-arrival estimation," IEEE Trans. ASSP-38, 1132- 1143, 1990.
  • 16. H. Johnson, "The application of spectral estimation methods to bearing estimation problems", Proc. IEEE, Vol.70, 1018-1028, 1982.
  • 17. D.J. Jeffries, D. Farrier, "Asymptotic results for eigenvector methods", Proc. Inst. EIec. Eng., Vol. 32, pt. F. 589-594, 1985.
  • 18. A. Paulraj, T. Kailath, "Eigenstructure methods for direction of arrival estimation in the presence of unknown noise fields", IEEE Trans. ASSP-34, 13-20, 1986.
  • 19. B. Friedlander, "A sensitivity analysis of the MUSIC algorithm", IEEE Trans. AS8P-3&, 1740-1751,1990.
  • 20. L. Swindlehurst, T. Kailath, "A performance analysis of subspace-based meth.ods in the presence of model errors, Part l: The MUSIC algorithm", IEEE Trans. SP-40, 1758-1773,1992.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9a2858eb-93f7-47b8-b8d2-d42535a7617c
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