Combining NSMS and High-Quality MPV-TD Data for UXO Discrimination

In this paper, a new physics-based approach for estimating a buried object's location and orientation is combined with the normalized surface magnetic source (NSMS) model to analyze high-quality, high-density multiaxis data provided by the Man-Portable Vector (MPV) time domain (TD) sensor. The NSMS is a very simple and robust technique for predicting the EMI responses of various objects. It is applicable to any combination of magnetic or electromagnetic induction data for any arbitrary homogeneous or heterogeneous 3D object or set of objects. The physics-based approach to estimate location assumes that the target exhibits a dipolar response and uses only two global values, the magnetic field vector H and the scalar magnetic potential psi, reconstructed at a set of points in space. To demonstrate the applicability of the NSMS, we first compare its predictions with dynamic MPV-TD measurements and then present the results of a blind-test analysis using multiaxis static MPV-TD data sets.