The eigenvector-based identification of shallow buried targets in ground penetrating radar

Author

Zaikov, E.A. ; Mikhnev, V.A. ; Maksimovitch, Ye.S.

Author_Institution

Inst. of Appl. Phys., Minsk, Belarus

fYear

2004

fDate

13-17 Sept. 2004

Firstpage

699

Lastpage

700

Abstract

A new approach to the super-resolution eigenvector method implementation, in step-frequency ground penetrating radar (GPR), is proposed. The pseudospectrum determination, fulfilled by the eigenvector algorithm, is followed by a procedure of more precise signal parameter estimation. Accordingly, the distance to the object obtained by the eigenvector algorithm is considered more reliable. Then, complex amplitudes of the determined signal components are calculated, which allows distinguishing different types of buried objects.

Keywords

buried object detection; eigenvalues and eigenfunctions; ground penetrating radar; parameter estimation; radar signal processing; buried object discrimination; eigenvector-based target identification; ground penetrating radar; pseudospectrum determination; shallow buried targets; signal parameter estimation; step-frequency GPR; super-resolution eigenvector method; target discrimination; Antenna measurements; Face detection; Geoscience and remote sensing; Ground penetrating radar; Neutron spin echo; Organizing; Radar signal processing; Signal processing algorithms; Signal resolution; Time domain analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Microwave and Telecommunication Technology, 2004. CriMico 2004. 2004 14th International Crimean Conference on

Print_ISBN

966-7968-69-3

Type

conf

DOI

10.1109/CRMICO.2004.183403

Filename

1390385