Low-rank model exploitation of electromagnetic induction sensors

Abstract

The objective of this research is to improve the signal processing of electromagnetic induction (EMI) sensors for detection, localization, characterization, and classification of targets buried under the surface of the earth. This research focuses on developing a new low-rank physical model of EMI targets. Based on the low-rank model, a new processing paradigm is developed to exploit the data’s structure within the measurements. This research develops a new low-rank exploitation framework for EMI sensors that will improve detection, localization, characterization, and classification for future EMI systems. This research provides detailed analysis of the new low-rank model and the low-rank processing framework. Performance results are demonstrated on simulated data, lab collected data, and field collected measurements to validate the new approaches.