Isolating and Discriminating Overlapping Signatures in Cluttered Environments

Abstract

SERDP project MR-1664 entitled "Isolating and Discriminating Overlapping Signatures in Cluttered Environments" is approximately halfway complete. Significant progress has been made in working toward the original objectives of the project. Three new methods for localizing multiple sources in close proximity using EMI data have been developed and tested. Specifically, these methods are: A multiple dipole search method based on a gradient search algorithm utilizing an analytical Jacobian (see Sec. 4.2) A combined Joint Diagonalization (JD) and Orthonormalized Volume Magnetic Source (ONVMS) method (see Sec. 4.3) Source localization based MUSIC algorithm applied to EMI data (see [1]) Canonical targets of various shapes, sizes and material parameters have been fabricated (see Sec. 4.1. Data acquired from these targets as well as standard UXO targets has been acquired by the TEMTADS and MPV2 instruments in many multitarget configurations (see Sec. 4.1). The methods developed to date under this MR-1664 have been able to isolate and discriminate up to six targets simultaneously in the case of lab data (see Sec. 5). The JD method is able to almost instantaneously provide a good estimate for the number of distinct targets in the EMI data. After this estimate is obtained, the first or second methods delineated above (and described below) are used to invert for the parameters of the N identified targets. Benjamin Barrowes,

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Document Details

Document Type
Technical Report
Publication Date
May 11, 2011
Accession Number
ADA544875

Entities

People

  • Ben Barrowes
  • Fridon Shubitidze

Organizations

  • Engineer Research and Development Center

Tags

Communities of Interest

  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Data Acquisition
  • Detection
  • Detectors
  • Electromagnetic Induction
  • Electromagnetic Induction Sensors
  • Explosives
  • Magnetic Dipoles
  • Magnetic Fields
  • Materials
  • Munitions
  • Projectiles
  • Remote Sensing
  • Supervised Machine Learning
  • Unexploded Ammunition
  • Uxo Detection

Fields of Study

  • Physics

Readers

  • Linear Algebra
  • Military/Explosive Ordnance Disposal (EOD) Technology
  • Sensor Fusion and Tracking Systems.