Parametrically adaptive wavenumber processing for mode tracking in a shallow ocean experiment

The shallow ocean is a dynamic environment requiring an adaptive processor. Parametrically adaptive processing implies embedding a parametric process model enabling a joint sequential processor capable of tracking oceanic variations. Here we address the problem of estimating or tracking modal functions in the ocean while jointly adjusting (adaptively) the inherent normal-mode propagation model parameters (wavenumbers) based on the data available from the Hudson Canyon experiment.

[1]  William M. Carey,et al.  Shallow-Water Transmission Measurements taken on the New Jersey Continental Shelf , 1991 .

[2]  Nicholas G. Polson,et al.  Particle Filtering , 2006 .

[3]  Henrik Schmidt.  SAFARI: Seismo-Acoustic Fast Field Algorithm for Range-Independent Environments. User's Guide , 1988 .

[4]  Edmund J. Sullivan,et al.  Model‐based processor design for a shallow water ocean acoustic experiment , 1994 .

[5]  A. Jazwinski.  Stochastic Processes and Filtering Theory , 1970 .

[6]  E. J. Sullivan,et al.  Model-based identification: an adaptive approach to ocean-acoustic processing , 1996 .

[7]  James V. Candy,et al.  Bayesian Signal Processing: Classical, Modern and Particle Filtering Methods , 2009 .

[8]  Melvin J. Hinich,et al.  Maximum‐likelihood signal processing for a vertical array , 1973 .

[9]  E. J. Sullivan,et al.  Ocean acoustic signal processing: A model‐based approach , 1992 .

[10]  D. Middleton,et al.  Estimation and detection issues in matched-field processing , 1993 .

[11]  Mark Porter,et al.  The KRAKEN normal mode program , 1992 .

[12]  Eric Moulines,et al.  Inference in hidden Markov models , 2010, Springer series in statistics.

[13]  Jeffrey K. Uhlmann,et al.  Unscented filtering and nonlinear estimation , 2004, Proceedings of the IEEE.

[14]  Loren W. Nolte,et al.  A posteriori probability source localization in an uncertain sound speed, deep ocean environment , 1991 .

[15]  S. Godsill,et al.  Special issue on Monte Carlo methods for statistical signal processing , 2002 .

[16]  P. Djurić,et al.  Particle filtering , 2003, IEEE Signal Process. Mag..

[17]  J. V. Candy.  Adaptive wavenumber estimation for mode tracking in a shallow ocean environment , 2012, 2012 Oceans.

[18]  C. Clay,et al.  Use of arrays for acoustic transmission in a noisy ocean , 1966 .

[19]  James V. Candy,et al.  Model-Based Signal Processing , 1985 .

[20]  C. Clay,et al.  Acoustical Oceanography : Principles and Applications , 1977 .

[21]  Branko Ristic,et al.  Beyond the Kalman Filter: Particle Filters for Tracking Applications , 2004 .

[22]  J. V. Candy.  An adaptive particle filtering approach to tracking modes in a varying shallow ocean environment , 2011, OCEANS 2011 IEEE - Spain.