4 May 2007 CFAR detection algorithm for acoustic-seismic landmine detection
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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.
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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); doi: 10.1117/12.719754; https://doi.org/10.1117/12.719754

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