Tensor Invariant Processing of Multistatic EMI Data for Target Classification

Abstract

The objective of this demonstration is to demonstrate the classification performance of the procedures developed in SERDP projects MR-1711, MR-1658, and MR-2100 using data collected by URS Group, Inc. (URS) with the man-portable transient EMI (TEM) array (nicknamed "TEMTADS") at Former Camp Hale, CO. Detection is based on applying the standard dipole inversion model as a filter over the entire survey site. Locations where the model fits the measured data well are target locations. Classification decisions are based on two parameters easily calculated from magnetic polarizabilities of unknown targets and targets of interest. The parameters are measures of the mismatch between the strength and the shape of the respective polarizability curves. This approach has been applied to cued data at other Live Site Demonstrations, but has been applied to dynamic survey data here.

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Document Details

Document Type
Technical Report
Publication Date
Jun 30, 2017
Accession Number
AD1154587

Entities

People

  • Dean Keiswetter
  • Thomas Bell

Organizations

  • Leidos

Tags

Communities of Interest

  • Biomedical
  • Human Systems
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Classification
  • Colorado
  • Data Analysis
  • Data Processing
  • Data Sets
  • Department Of Defense
  • Detection
  • Detectors
  • Electromagnetic Induction Sensors
  • Environmental Security
  • Explosive Ordnance Disposal
  • Explosives
  • Global Positioning Systems
  • Hand Grenades
  • Inertial Measurement Units
  • Manportable Equipment
  • Munitions
  • Projectiles
  • Target Classification
  • Unexploded Ammunition
  • Uxo Detection

Readers

  • Military/Explosive Ordnance Disposal (EOD) Technology
  • Radar Systems Engineering.