Electromagnetic induction systems for discrimination among metallic targets
Type of DegreeDissertation
Electrical and Computer Engineering
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This dissertation discusses the ability of time- and frequency-domain electromagnetic induction (EMI) systems to discriminate unexploded ordnance (UXO) from clutter. The chief contribution of this work is to demonstrate the importance of extremely low frequency (ELF) data in discrimination of thick and thin-walled ferrous UXO-like targets that are otherwise visually identical. It is demonstrated that when data in the 30 Hz to 24 kHz range is extended down to 1 Hz discrimination performance improves by a factor of 1.5. Improved discrimination performance reduces false alarms and ultimately lowers remediation costs.