Localization of Buried Objects in Sediment Using High Resolution Array Processing Methods

Fossati, Caroline; Bourennane, Salah; Marot, Julien

doi:10.5772/33366

Cited by 1 publication

(2 citation statements)

References 19 publications

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“…In the previous section, a relative delay time accuracy of the order of 10 −6 s was defined as a necessary condition. Following the choice to focus on the MUSIC algorithm (MUltiple SIgnal Classification) [ 24 , 25 , 26 , 27 , 28 , 29 , 30 ] for antenna processing, the so-called ‘high resolution algorithm’ became interesting.…”

Section: Modeling With a Single Propagation Medium (M1)mentioning

confidence: 99%

“…The MUSIC algorithm is usually used to discern different sources and their direction of arrival through an antenna array [ 24 ]. It can be adapted in the near field to estimate the distance of sources in addition to their direction of arrival [ 25 , 26 , 27 , 28 , 29 , 30 ]. In this paper, the aim was to estimate the location of a single source S in the near field and also to estimate the propagation velocity V 0 according to Model M1.…”

Section: Modeling With a Single Propagation Medium (M1)mentioning

confidence: 99%

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Three-Dimensional Localization of Buried Polyethylene Pipes Using Acoustic Method

Xerri

Saracco

Ribodetti

et al. 2022

Sensors

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Localization of buried polyethylene pipes is an important issue for network managers. This study focuses on an acoustic method, which consists of vibrating the pipe and observing the signal with a receiver placed on the ground surface. This method provides an estimate of the path of the pipe but gives no information on the depth. We developed a multi-sensor method based on the principle of vibrating the pipe, which allows estimating the depth while being non-invasive and non-destructive and without a priori information on the propagation medium. These sensors are positioned perpendicular to the pipe. We developed a new estimator to estimate the depth and the propagation velocity in the medium, which is an important variable in our problem. This estimator is based on the MUSIC algorithm and is adapted to our choice of modeling. In this paper, two models of travel times in typical situations are presented. The first one represents the case where all sensors can be placed inside the trench (on the ground surface) in which the pipe is buried. The second one represents the case where sensors are placed inside and outside the trench. These travel time models aim to provide a fast result to allow the method to be used by field agents. They are compared with a full wavefield modeling by finite differences.

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