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Proceedings Paper

Toward a real-time positioning system for a portable EMI sensor
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Paper Abstract

The Portable Decoupled Electromagnetic Induction Sensor (Pedemis) is a new instrument designed to provide diverse, high-quality data for detection and discrimination of unexploded ordnance in rocky, treed, or otherwise forbidding terrain. It consists of a square array of nine transmitters and a similar arrangement of receivers that measure all three vector components of the time-dependent magnetic field at nine different locations. The receiver assembly can be fixed to the transmitters or detached from them for enhanced flexibility and convenience. The latter mode requires a positioning system that finds the location of the receivers with respect to the transmitters at any time without hampering portability or requiring communication with outside agents (which may be precluded by field conditions). The current system examines the primary field during the transmitters’ on-time phase and optimizes to find the location at which it is most likely to obtain the combination of measured values. We have developed an algorithm that computes mutual inductances analytically and exploits their geometric information to predict location. The method does full justice to Faraday’s Law from the start and incorporates the fine structure of both transmitters and receivers; it is exact and involves only elementary functions, making it unnecessary to set up and monitor approximations and guaranteeing robustness and stability everywhere; it uses a fraction of the memory and is orders-of-magnitude faster than methods based on numerical quadrature. We have tested the algorithm on the current Pedemis prototype and have obtained encouraging results which we summarize in this paper.

Paper Details

Date Published: 7 June 2013
PDF: 10 pages
Proc. SPIE 8709, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVIII, 870902 (7 June 2013); doi: 10.1117/12.2016245
Show Author Affiliations
Juan Pablo Fernández, Thayer School of Engineering at Dartmouth (United States)
Benjamin Barrowes, Thayer School of Engineering at Dartmouth (United States)
U.S. Army Engineer Research and Development Ctr. (United States)
Kevin O'Neill, Thayer School of Engineering at Dartmouth (United States)
U.S. Army Engineer Research and Development Ctr. (United States)
Irma Shamatava, Thayer School of Engineering at Dartmouth (United States)
Fridon Shubitidze, Thayer School of Engineering at Dartmouth (United States)


Published in SPIE Proceedings Vol. 8709:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVIII
J. Thomas Broach; Jason C. Isaacs, Editor(s)

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