Statistical Signal Processing for Demining: Modeling and Experimental Validation

摘要

Under the support provided by ARO in the form of a MURI for Humanitarian demining, successful techniques for discriminating between mines and anthropic clutter have been developed using a statistical signal processing approach. In order to determine whether these algorithms have wider application than the relatively high-metallic content mines used in other experiments, the Joint UXO Coordination Office (JUXOCO) was interested in augmenting the work begun under the MURI. JUXOCO is sponsoring a series of experiments designed to establish a performance baseline for metallic mine detectors. This baseline will be used to measure the potential improvements in performance offered by advanced signal processing algorithms. One goal of the work funded under this grant was to develop statistical algorithms for processing data previously collected with the GEM-3 and PSS-12. A second goal was to develop phenomenological models to explore (1) the void effect observed under a previous grant and (2) the Wichmann radar. This report provides a summary of the results obtained during the course of this study and a summary.