Location and orientation estimation of buried targets using electromagnetic induction sensors

Kyle Krueger; Waymond R. Scott Jr.; James H. McClellan

doi:10.1117/12.919558

11 May 2012 Location and orientation estimation of buried targets using electromagnetic induction sensors

Kyle Krueger, Waymond R. Scott Jr., James H. McClellan

Proceedings Volume 8357, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVII; 83570D (2012) https://doi.org/10.1117/12.919558
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

Dictionary matching techniques are an eective way to invert EMI measurements to detect properties of buried targets. A problem arises when trying to create a comprehensive dictionary that can account for location and orientation information for all types of useful targets because populating the dictionary would require the enumeration of parameters in a 7-dimensional space. This paper shows that the discrete spectrum of relaxation frequencies (DSRF) can be used to eliminate two of the dimensions entirely, and the singular value decomposition (SVD) will compress the dictionary by another two orders of magnitude. These dimensionality reducing techniques lead to an ecient dictionary matching algorithm for location and orientation estimates.

Citation Download Citation

Kyle Krueger, Waymond R. Scott Jr., and James H. McClellan "Location and orientation estimation of buried targets using electromagnetic induction sensors", Proc. SPIE 8357, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVII, 83570D (11 May 2012); https://doi.org/10.1117/12.919558

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