DocumentCode :
1061538
Title :
Thin-Pavement Thickness Estimation Using GPR With High-Resolution and Superresolution Methods
Author :
Le Bastard, Cédric ; Baltazart, Vincent ; Wang, Yide ; Saillard, Joseph
Author_Institution :
IEEE, Shanghai
Volume :
45
Issue :
8
fYear :
2007
Firstpage :
2511
Lastpage :
2519
Abstract :
In the field of civil engineering, sounding the top layer of carriageways, i.e., the pavement layer, is classically performed using standard ground-penetrating radar (GPR), whose resolution is bandwidth dependent. The layer thickness is deduced from both the time delays of backscattered echoes and the known dielectric constant of the medium. This paper focuses on superresolution and high-resolution techniques, which serve to improve the time resolution of GPR signals, and presents a parametric technique and five subspace methods, namely, estimation of signal parameters via rotational invariance techniques (ESPRIT), multiple-signal classification (MUSIC) algorithm, Min-Norm, and their polynomial versions root-MUSIC and root-Min-Norm. The performance of these algorithms will be compared in terms of resolution power as well as root-mean-square error on the estimated thickness. The paper also presents the results of computer tests and radar measurements in the far field.
Keywords :
backscatter; civil engineering; geophysical signal processing; ground penetrating radar; signal classification; ESPRIT method; MUSIC algorithm; carriageways; civil engineering; dielectric constant; echo backscatterand; ground penetrating radar; high-resolution methods; multiple-signal classification; parametric technique; rotational invariance techniques; signal parameter estimation; superresolution methods; thin-pavement thickness estimation; Bandwidth; Civil engineering; Classification algorithms; Delay effects; Dielectric constant; Ground penetrating radar; Multiple signal classification; Parameter estimation; Polynomials; Signal resolution; Civil engineering; ground-penetrating radar (GPR); nondestructive testing (NDT); pavement survey; resolution; root mean square error (RMSE); time-delay estimation (TDE);
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2007.900982
Filename :
4276891
Link To Document :
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