Investigation of the Detection and Classification of Metal Objects using Electromagnetic Induction Sensors
Abstract
Georgia tech proposes to investigate the use of electromagnetic induction sensors for detecting near-surface metal objects buried on the beach or in shallow sea water at distances up to six meters from the sensor. The investigation will assume that the sensor will be placed on a small slow-flying, unmanned, aerial vehicle like a quadcopter or on a small surface ocean vehicle. The initial work will be focused on developing a sensor that can detect naval mines in shallow sea water so the coil geometry and management of the response from the water is paramount. However, the work will be cognizant that the sensor must be placed on a useful platform, so we will investigate methods to mitigate the expected interference from the platforms. It is highly desirable that the system be able to classify certain types of targets, so the frequencies will bechosen to maximize the capability of the sensor to discriminate between different types of metallic targets while managing the effects of the sea water. Preference will be given to a multi-frequency system that can take advantage of the newly developed low-rank processing to maximize the potential for the system to classify targets.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Oct 17, 2018
- Source ID
- N000141812880
Entities
People
- Waymond Scott
Organizations
- Georgia Tech Research Corporation
- Office of Naval Research
- United States Navy