Enhanced EMI Models and Systems for Underwater UXO Detection and Discrimination
Abstract
This project investigates electromagnetic induction (EMI) signals behaviors in underwater (UW) conducting environments. The analytical, numerical, and limited-experimental studies have showed that marine environments distort both the primary and secondary magnetic fields at early times/high frequencies; water-air and water-sediment boundaries produce non-negligible EMI responses; and the direct signal from the Tx current to Rx coils (i.e. salt water effects) influence a targets EMI responses disproportionately. To mitigate these effects, enhanced EMI models are developed. The enhanced models account for UW environmental effects accurately and extract target specific classification feature parameters from actual UW EMI data sets. The enhanced UW EMI data inversion and classification algorithms were applied to single-pass UltraTEMA data sets collected at Sequim Bay, WA UW calibration and blind grids. The blind grid data analyzes have showed that the enhanced EMI models can classy all detected targets of interests with high confidence.
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 12, 2022
- Accession Number
- AD1219173
Entities
People
- Benjamin E. Barrowes
- Fridon Shubitidze
Organizations
- Cold Regions Research and Engineering Laboratory
- Dartmouth College