Repository logo
 
Loading...
Thumbnail Image
Publication

Comparing the resolution of Bartlett and MVDR estimators for bottom parameter estimation using pressure and vector sensor short array data

Use this identifier to reference this record.
Name:Description:Size:Format: 
Oceans13_co_author.pdf867.73 KBAdobe PDF Download

Advisor(s)

Abstract(s)

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).

Description

Keywords

Vector sensor arrays Bottom parameter estimation Bartlett estimator MVDR estimator

Citation

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.

Research Projects

Research ProjectShow more

Organizational Units

Journal Issue