Parameterized Likelihood Ratio Method for EMI Unexploded Ordnance Detection

Bo Marr^a, Peter Torrione^a, Jonathan Miller^b, and Leslie Collins^a

^aDept. of Electrical Engineering, Duke University, Box 90291, Durham NC 27708, USA;

^bAETC, Inc., 1225 Jefferson Davis Highway, Suite 800 Arlington, VA, 22202, USA.

ABSTRACT

With current signal processing techniques, successful discrimination between UXO (Unexploded Ordnance) and clutter depends on characteristics that are consistent across all examples of an ordnance type. Real UXO, however, exhibit many differences from instance to instance, such as varying degrees of damage sustained, degradation over time, orientation in the ground, and even differences in design. Thus, a given ordnance type, such as 60mm shells, will exhibit a wide range of signal responses, making it difficult to distinguish these items from clutter unless these fundamental differences are taken into account using appropriate mathematics. This project will examine optimal methods of using frequency-domain analysis of wideband electromagnetic induction (EMI) for detection.

Example of Signal Variability

Monte Carlo Integration of Likelihood Ratio Test:

Results: