Optimized GPR signal deconvolution using an adaptive conjugate gradient method

A. Coatanhay

Optimized GPR signal deconvolution using an adaptive conjugate gradient method

A. Coatanhay

ENSTA

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1 Citation (Scopus)

Résumé

This paper presents a signal processing method to improve the identification of interface between different layered media, using a deconvolution process. Our methological approach is based on an inverse problem algorithm, called conjugate gradient method. The emitted pulse is assumed to be known, and the convolution is considered as a linear operator that must be inversed. More, in this paper, we take into account the distortion of the signal and the noise of the recorded signal.

langue originale	Anglais
Pages	340-341
Nombre de pages	2
état	Publié - 1 janv. 2002
Evénement	2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002) - Toronto, Ont., Canada Durée: 24 juin 2002 → 28 juin 2002

Une conférence

Une conférence	2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002)
Pays/Territoire	Canada
La ville	Toronto, Ont.
période	24/06/02 → 28/06/02

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title = "Optimized GPR signal deconvolution using an adaptive conjugate gradient method",

abstract = "This paper presents a signal processing method to improve the identification of interface between different layered media, using a deconvolution process. Our methological approach is based on an inverse problem algorithm, called conjugate gradient method. The emitted pulse is assumed to be known, and the convolution is considered as a linear operator that must be inversed. More, in this paper, we take into account the distortion of the signal and the noise of the recorded signal.",

author = "A. Coatanhay",

year = "2002",

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N2 - This paper presents a signal processing method to improve the identification of interface between different layered media, using a deconvolution process. Our methological approach is based on an inverse problem algorithm, called conjugate gradient method. The emitted pulse is assumed to be known, and the convolution is considered as a linear operator that must be inversed. More, in this paper, we take into account the distortion of the signal and the noise of the recorded signal.

AB - This paper presents a signal processing method to improve the identification of interface between different layered media, using a deconvolution process. Our methological approach is based on an inverse problem algorithm, called conjugate gradient method. The emitted pulse is assumed to be known, and the convolution is considered as a linear operator that must be inversed. More, in this paper, we take into account the distortion of the signal and the noise of the recorded signal.

UR - https://www.scopus.com/pages/publications/0036031049

M3 - Paper

AN - SCOPUS:0036031049

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T2 - 2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002)

Y2 - 24 June 2002 through 28 June 2002

ER -

Optimized GPR signal deconvolution using an adaptive conjugate gradient method

Résumé

Une conférence

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