Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.1/3640
Título: Comparing the resolution of Bartlett and MVDR estimators for bottom parameter estimation using pressure and vector sensor short array data
Autor: Felisberto, P.
Schneiderwind, J.
Santos, P.
Rodríguez, O. C.
Jesus, S. M.
Palavras-chave: Vector sensor arrays
Bottom parameter estimation
Bartlett estimator
MVDR estimator
Data: 2013
Citação: Felisberto, P.; Schneiderwind, J.; Santos, P.; Rodriguez, O.; Jesus, S.M.Comparing the resolution of Bartlett and MVDR estimators for bottom parameter estimation using pressure and vector sensor short array data, OCEANS 2013 MTS/IEEE Bergen: The Challenges of the Northern Dimension, 2013 , 1-8, 2013.
Resumo: This work compares the resolution of a pressure and vector sensor based conventional Bartlett estimator, with their MVDR estimator counterparts, in the context of bottom characterization with a short vertical array. Santos et al. [1]demonstrated the gain of a vector sensor array (VSA) based linear estimator (Bartlett) for generic parameter estimation. Moreover, it was shown that for bottom characterization the highest resolution of the estimates were achieved with the vertical particle velocity measurements alone. The present work highlights the gain in parameter resolution of a VSA based MVDR estimator. It is shown, that also for a MVDR estimator, the vector sensor array data improves the resolution of parameter estimation. But, it is also shown, through simulations, that for bottom parameter estimation, the pressure based MVDR estimator has higher resolution and sidelobe attenuation than the VSA based Bartlett estimator. These results were verified for experimental data acquired by a four element, 30 cm long vertical VSA in the 8–14 kHz band, during the Makai Experiment 2005 sea trial, off Kauai I., Hawaii (USA).
Peer review: no
URI: http://hdl.handle.net/10400.1/3640
DOI: http://dx.doi.org/10.1109/OCEANS-Bergen.2013.6608071
ISBN: 978-1-4799-0000-8
Aparece nas colecções:ISE2-Artigos (em revistas ou actas indexadas)

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