Title :
Mine detection using a maximum likelihood estimator and in-field GPR data
Author_Institution :
FGAN-FHR, Wachtberg-Werthhoven, Germany
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;
Conference_Titel :
Radar Conference, 2000. The Record of the IEEE 2000 International
Conference_Location :
Alexandria, VA
Print_ISBN :
0-7803-5776-0
DOI :
10.1109/RADAR.2000.851849
