Accession Number:

ADA539449

Title:

EMI Array for Cued UXO Discrimination

Descriptive Note:

Final rept.

Corporate Author:

ENVIRONMENTAL SECURITY TECHNOLOGY CERTIFICATION PROGRAM OFFICE (DOD) ARLINGTON VA

Report Date:

2010-09-01

Pagination or Media Count:

58.0

Abstract:

The Chemistry Division of the Naval Research Laboratory NRL has participated in several programs funded by the Strategic Environmental Research and Development Program SERDP and the Environmental Security Technology Certification Program ESTCP whose goal has been to enhance the classification ability of the Multisensor Towed Array Detection System MTADS. The process has been based on making use of both the location information inherent in an items magnetometry response and the shape and size information inherent in the response to electromagnetic induction EMI sensors. To date, most of these systems have used timedomain EMI TEM sensors with the notable exception of the Geophex GEM-3 frequencydomain sensor. In past efforts, classification performance has been limited by both the information available from the EMI sensors and by signal-to-noise limitations. Three of the largest noise terms are inherent sensor noise, motion-induced noise, and sensor location uncertainty. The three most successful demonstrations to date of EMI-based discrimination all involved cued detection with gridded collection of EMI data. The success of the gridded data collections was due to the combination of minimal location uncertainty, no motion-induced noise, and sufficient signal-to-noise ratio SNR. The downside of the implementations previously demonstrated is that they were relatively slow and inefficient, especially on a large site. The time-domain electromagnetic MTADS TEMTADS array was designed to combine the data quality advantages of a gridded survey with the coverage efficiencies of a vehicular system. The design goal of this system was to collect data equal, if not better, in quality to the best gridded surveys the relative position and orientation of the sensors being known better for gridded data while prosecuting many more targets each field day.

Subject Categories:

  • Ammunition and Explosives
  • Radiofrequency Wave Propagation

Distribution Statement:

APPROVED FOR PUBLIC RELEASE