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Sensors 2015, 15(9), 23788-23804; doi:10.3390/s150923788

A Dedicated Genetic Algorithm for Localization of Moving Magnetic Objects

Applied Physics Division, Soreq NRC, Yavneh 81800, Israel
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Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 27 July 2015 / Revised: 10 September 2015 / Accepted: 14 September 2015 / Published: 18 September 2015
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [890 KB, uploaded 21 September 2015]   |  

Abstract

A dedicated Genetic Algorithm (GA) has been developed to localize the trajectory of ferromagnetic moving objects within a bounded perimeter. Localization of moving ferromagnetic objects is an important tool because it can be employed in situations when the object is obscured. This work is innovative for two main reasons: first, the GA has been tuned to provide an accurate and fast solution to the inverse magnetic field equations problem. Second, the algorithm has been successfully tested using real-life experimental data. Very accurate trajectory localization estimations were obtained over a wide range of scenarios. View Full-Text
Keywords: genetic algorithms; magnetic dipoles; magnetic sensors; tracking problems genetic algorithms; magnetic dipoles; magnetic sensors; tracking problems
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Alimi, R.; Weiss, E.; Ram-Cohen, T.; Geron, N.; Yogev, I. A Dedicated Genetic Algorithm for Localization of Moving Magnetic Objects. Sensors 2015, 15, 23788-23804.

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