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GMU C4I Center Seminar
Syntactic Landmine Detection And Classification
Utilizing HRR Ground Penetrating Radar
Dr. Kenneth J. Hintz
Department of Electrical and Computer Engineering
Friday, October 26, 2007
ABSTRACT
Two concepts have been integrated to create the syntactic landmine detection and classification methodology. The first utilizes a high range resolution ground penetrating radar (HRR-GPR) to precisely locate the range to scatterers on metallic landmines and the range to changes in dielectric constants of internal materials in nonmetallic landmines. The HRR-GPR signal is preprocessed utilizing 1D and 2D inverse filters to improve the range accuracy to scatterers and impedance discontinuities and convert the signal into binary valued words with zeros representing HRR range bins with no change in impedance and ones representing bins in which there is an impedance change or scatterer.
The second concept is that of syntactic language recognizers. These recognizers, which are implemented as finite state machines, are capable of quickly detecting characteristic sequences of ones and zeroes embedded in longer sequences and differentiating them from clutter with an extremely low probability of false alarm (Pfa). In addition to the low Pfa, the detection and classification processing is extremely fast leading to operationally effective landmine detection and classification rates.