Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.1/7342
Título: Environmental inversion using high-resolution matched-field processing
Autor: Soares, C.
Jesus, S. M.
Coelho, E.
Data: 2007
Editora: Acoustical Society of America
Resumo: This paper considers the inversion of experimental field data collected with light receiving systems designed to meet operational requirements. Such operational requirements include system deployment in free drifting configurations and a limited number of acoustic receivers. A well-known consequence of a reduced spatial coverage is a poor sampling of the vertical structure of the acoustic field, leading to a severe ill-conditioning of the inverse problem and data to model cost function with a massive sidelobe structure having many local extrema. This causes difficulties to meta-heuristic global search methods, such as genetic algorithms, to converge to the true model parameters. In order to cope with this difficulty, broadband high-resolution processors are proposed for their ability to significantly attenuate sidelobes, as a contribution for improving convergence. A comparative study on simulated data shows that high-resolution methods did not outperform the conventional Bartlett processor for pinpointing the true environmental parameter when using exhaustive search. However, when a meta-heuristic technique is applied for exploring a large multidimensional search space, high-resolution methods clearly improved convergence, therefore reducing the inherent uncertainty on the final estimate. These findings are supported by the results obtained on experimental field data obtained during the Maritime Rapid Environmental Assessment 2003 sea trial. (c) 2007 Acoustical Society of America.
Peer review: yes
URI: http://hdl.handle.net/10400.1/7342
DOI: https://dx.doi.org/10.1121/1.2799476
ISSN: 0001-4966
Aparece nas colecções:FCT2-Artigos (em revistas ou actas indexadas)

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