Low-Cost Ultra-Wideband EM Sensor for UXO Detection and Classification

Abstract

This SERDP SEED project investigated the viability of using low-cost commercially available magneto-resistive sensors for EM induction and magnetometry. Because there are many different configurations for operating these sensors, a custom circuit board was designed and fabricated to determine which configuration would be most optimal for UXO detection and discrimination. Noise and sensitivity measurements were conducted in the frequency domain using a Helmholz coil. Magnetic biasing , electrical bridge biasing, chopper techniques, and open/closed loop configurations were investigated. The optimal configuration produced a noise density of 6 pT/vHz for frequencies above 200Hz. At 1 Hz, the noise density is - 30 pT/vHz. These results were obtained in both open loop and closed loop operation. A laboratory prototype instrument was built using the magneto-resistive sensors to test the magnetometer and EM induction response to actual UXO targets and compare with readings from similar instruments. When operating in magnetometer mode, the prototype detected an 81 mm target at a distance of over two meters. When operating in time-domain EM induction mode, measurements could be made as early as 20 us after the transmitter turn-off.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2012
Accession Number
ADA579916

Entities

People

  • Charles P. Oden

Tags

Communities of Interest

  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Circuit Boards
  • Detection
  • Detectors
  • Digital Signal Processing
  • Electromagnetic Induction Sensors
  • Frequency
  • Frequency Domain
  • Magnetic Detectors
  • Magnetic Fields
  • Magnetometers
  • Manportable Equipment
  • Materials Science
  • Measurement
  • Sensor Networks
  • Time Domain
  • Unexploded Ammunition
  • Uxo Detection

Fields of Study

  • Physics

Readers

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