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Local propagation speed constrained estimation of the slowness vector from non-planar array observations

Adrien Nouvellet #1 #2, François Roueff #1, Alexis Le Pichon #2, Maurice Charbit #1, Julien Vergoz #2, Mohamed Kallel, Chourouq Mejri
#1 Laboratoire Traitement et Communication de l'Information [Paris] (LTCI)
  • Télécom ParisTech
  • CNRS : UMR5141
#2 Laboratoire de Détection et de Géophysique (CEA) (LDG)
  • CEA
References
J. Acoust. Soc. Am., January 2016, vol. 139, n° 1, pp. 559-567
Abstract

The estimation of the slowness vector of infrasoundwaves propagating across an array is a critical process leading to the determination of parameters of interest such as the direction of arrival. The sensors of an array are often considered to be located in a horizontal plane. However, due to topography, the altitudes of the sensors are not identical and introduce a bias on the estimate if neglected. However, the unbiased 3D estimation procedure, while suppressing the bias, leads to an increase of the variance. Accounting for an a priori constraint on the slowness vector significantly reduces the variance and could therefore improve the performance of the estimation if the introduced bias by incorrect a priori information remains negligible. This study focuses on measuring the benefits of this approach with a thorough investigation of the bias and variance of the constrained 3D estimator, which is not available in the existing literature. This contribution provides such computations based on an asymptotic Gaussian approximation. Simulations are carried out to assess the theoretical results both with synthetic and real data. Thus, a constrained 3D estimator is proposed yielding the best bias/variance compromise if good knowledge of the propagation wave speed is accessible.

Keywords
Infrasound; Acoustic sensing; Acoustic waves
Category
Article in peer reviewed Journal
Research Area(s)
Engineering Sciences/Signal and Image processing
Mathematics/Statistics
Identifier(s)
DOI 10.1121/1.4939112
HAL ref. hal-01359236
Bibliographic key nouvellet2016
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Last update
on september 02, 2016


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