High-Frequency Electromagnetic Induction Sensors and Their Applications

Dear Colleagues,

Electromagnetic induction (EMI) sensors have long been established in many applications where non-contact interaction with an electrically conductive or magnetic material is required. Traditionally, EMI sensors utilize the excitation spectrum below several hundred of kilohertz, providing acceptable sensitivity for typical metallic objects with electrical conductivity higher than 1 MS/m. EMI sensing in the high frequency range (3 – 30 MHz) represents a potentially beneficial transition between low frequency EMI sensing of metallic objects and UHF range (300 MHz – 3 GHz) electromagnetic sensing of lossy media. In high-frequency electromagnetic induction sensing (HFEMIS), the wavelength is still large and usual quasistationary approximation is valid. Because of this, the benefits of induction sensing are still maintained, but the sensitivity to very small objects and low conductive materials is significantly increased, opening up the possibility for the sensing of biological tissues and soil or the inspection of materials such as carbon fibers. However, technical challenges are manifold when compared to a low frequency range. The coils must have a high resonant frequency, thus limiting the number of turns, dimensions, and, consequently, sensitivity. Effective shielding and correction techniques have to be devised in order to minimize the effects of parasitic capacitive coupling. Electronic instrumentation must operate at low power and at the same time have processing capabilities to handle more complicated numerical models and model-based measurement algorithms.

The goal of this Special Issue is to invite high-quality, state-of-the-art research papers that deal with all aspects of the modelling and design of HFEMIS systems and their application.

Prof. Dr. Vedran Bilas
Prof. Dr. Darko Vasic
Guest Editors

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• Electromagnetic modelling of HFEMI sensors
• Electronic system design including coil configurations, shielding effectiveness, low power operation, portability, processing power
• Model-based measurement and inverse problem techniques
• Applications in geophysical exploration
• Applications in humanitarian demining, and detection of unexploded ordnances and improvised explosive devices
• Applications in proximal soil sensing
• Applications in nondestructive testing and evaluation
• Applications in industrial process and biomedical tomography