Non-traditional Physics-based Inverse Approaches for Determining a Buried Object's Location
Abstract
The research described in this report was conducted in fulfillment of Project MM-1592, "Non-traditional physics-based inverse approaches for determining a buried object's location" submitted to the Strategic Environmental Research and Development Program's (SERDP) Exploratory Development Program (SEED) in response to Statement of Need MMSEED-07-02, "Advanced Technologies for Detection, Discrimination, and Remediation of Munitions and Explosives of Concern (MEC): UXO Technology." The main focus of this research was to explore and develop new electromagnetic inverse scattering approaches for estimating the locations and orientations of buried objects that would not involve the solution of an ill-posed nonlinear minimization problem and that would be sufficiently robust and efficient to be used in real field UXO discrimination. We concentrated on the fundamental aspects and potential practical applicability to the UXO problem of three novel physics-based approaches: (1) pole-series expansions, (2) energy gradients, and (3) use of the physical properties of left-handed media (LHM). All three methods assume that targets' responses can be approximately reproduced by means of a set of magnetic dipoles-the scattered field singularities-distributed in particular points inside the objects. The algorithms are implemented using a numerical technique called the Normalized Surface Magnetic Source (NSMS) model. We studied the accuracy with which the methods can estimate an object's location, orientation, and equivalent magnetic polarizability, their robustness with respect to noise, their computational speed, and their requirements with regard to data quality and quantity. We ultimately wanted to determine which of these three techniques would be practical and reliable for use in real UXO production runs.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2008
- Accession Number
- ADA495646
Entities
People
- Fridon Shubitidze