CFAR detection algorithm for acoustic-seismic landmine detection

Ghaith M. Matalkah; Mustafa M. Matalgah; James M. Sabatier

doi:10.1117/12.719754

4 May 2007 CFAR detection algorithm for acoustic-seismic landmine detection

Ghaith M. Matalkah, Mustafa M. Matalgah, James M. Sabatier

Proceedings Volume 6553, Detection and Remediation Technologies for Mines and Minelike Targets XII; 655303 (2007) https://doi.org/10.1117/12.719754
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

Automating the detection process in acoustic-seismic landmine detection speeds up the detection process and eliminates the need for a human operator in the minefield. Previous automatic detection algorithms for acoustic landmine detection showed excellent results for detecting landmines in various environments. However, these algorithms use environment-specific noise-removal procedures that rely on training sets acquired over mine-free areas. In this work, we derive a new detection algorithm that adapts to varying conditions and employs environment-independent techniques. The algorithm is based on the generalized likelihood ratio (GLR) test and asymptotically achieves a constant false alarm rate (CFAR). The algorithm processes the magnitude and phase of the vibrational velocity and shows satisfying results of detecting landmines in gravel and dirt lanes.

Citation Download Citation

Ghaith M. Matalkah, Mustafa M. Matalgah, and James M. Sabatier "CFAR detection algorithm for acoustic-seismic landmine detection", Proc. SPIE 6553, Detection and Remediation Technologies for Mines and Minelike Targets XII, 655303 (4 May 2007); https://doi.org/10.1117/12.719754

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