Mine detection using a maximum likelihood estimator and in-field GPR data

Author

Uschkerat, U.

Author_Institution

FGAN-FHR, Wachtberg-Werthhoven, Germany

fYear

2000

fDate

2000

Firstpage

294

Lastpage

298

Abstract

This contribution addresses the signal preprocessing and a detection algorithm applied to measured ground penetrating radar (GPR) data. The measurement setup consists of a GPR system and inert mines in five different environments. The statistics of the output variable of a maximum likelihood detection algorithm which also reduces the signal to clutter ratio (SCR) is analyzed. As a result the threshold level for a constant false alarm rate (CFAR) mode can be computed

Keywords

buried object detection; maximum likelihood detection; maximum likelihood estimation; radar clutter; radar detection; radar signal processing; CFAR mode; GPR system; constant false alarm rate; ground penetrating radar; in-field GPR data; maximum likelihood detection; maximum likelihood estimator; mine detection; signal detection; signal preprocessing; signal to clutter ratio; statistics; threshold level; Algorithm design and analysis; Clutter; Detection algorithms; Ground penetrating radar; Maximum likelihood detection; Maximum likelihood estimation; Radar detection; Signal analysis; Statistical analysis; Thyristors;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar Conference, 2000. The Record of the IEEE 2000 International

Conference_Location

Alexandria, VA

Print_ISBN

0-7803-5776-0

Type

conf

DOI

10.1109/RADAR.2000.851849

Filename

851849