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

Research output: Contribution to conference › Paper › peer-review

1 Citation (Scopus)

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.

Original language	English
Pages	340-341
Number of pages	2
Publication status	Published - 1 Jan 2002
Event	2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002) - Toronto, Ont., Canada Duration: 24 Jun 2002 → 28 Jun 2002

Conference

Conference	2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002)
Country/Territory	Canada
City	Toronto, Ont.
Period	24/06/02 → 28/06/02

Cite this

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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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AU - Coatanhay, A.

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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

SP - 340

EP - 341

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

Abstract

Conference

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