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Experimental results of geometric and geoacosutic parameter estimation using a vector sensor array

机译:使用矢量传感器阵列进行几何和地声参数估计的实验结果

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摘要

The objective of this paper is to present an overview of the work developed at SiPLAB,University of Algarve, with vector sensor data collected during Makai experiment 2005, in geometric and geoacoustic parameter estimation. During this experiment devoted to high frequency initiative, acoustic data were acquired by a four element vertical vector sensor array (VSA). A vector sensor is a directional sensor constituted by one omni directional pressure sensor and three velocity-meters, where both the acoustic pressure and the three particle velocity components are measured. The spatial filtering capabilities of the vectorsensors are used to estimate the direction of arrival (DOA) of low and high frequencyacoustic sources considering a single and a multiple sensor VSA. An inversion methodbased on Bartlett estimator is used for three dimensional localization of ship’s noise where the noise source is estimated in range and depth taking into accounts the azimuth given by DOA. Moreover, this method is applied to seabed parameters estimation like sediment compressional speed, density and compressional attenuation, contributing to improve the resolution of these parameters.
机译:本文的目的是概述在Algarve大学SiPLAB开发的工作,并利用在2005年Makai实验中收集的矢量传感器数据进行几何和地声参数估计。在这个致力于高频主动性的实验中,声学数据是通过四元素垂直矢量传感器阵列(VSA)采集的。矢量传感器是一种方向传感器,由一个全向压力传感器和三个速度计组成,在此处测量声压和三个粒子速度分量。考虑单个和多个传感器VSA,矢量传感器的空间滤波功能可用于估计低频和高频声源的到达方向(DOA)。基于Bartlett估计器的反演方法用于船舶噪声的三维定位,其中考虑了DOA给出的方位角,在范围和深度上估计了噪声源。此外,该方法被应用于海床参数估算,如沉积物的压缩速度,密度和压缩衰减,有助于提高这些参数的分辨率。

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