2005
DOI: 10.1002/ecja.20198
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Localization of low-frequency electromagnetic sources

Abstract: SUMMARYIn order to study the cause of unwanted electromagnetic emissions under the actual operating conditions of electronic and industrial devices, it is necessary to measure the spatial distribution of the unwanted electromagnetic waves outside the devices and to identify the positions of the sources of unwanted electromagnetic waves inside the devices. The authors attempted to estimate the sources of the electromagnetic near-fields of the devices at low frequencies (less than several tens of megahertz) by p… Show more

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Cited by 7 publications
(3 citation statements)
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References 14 publications
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“…Additionally, even on the ground, such a sensor network could be applied to flexible monitoring of the electromagnetic environment around electrical and electronic equipment. By measuring the electromagnetic field distribution generated around such equipment under actual operating conditions, the field sources can be identified using localization techniques [8]. Such a technique would be expected to be useful in a wide range of electromagnetic compatibility scenarios.…”
Section: Resultsmentioning
confidence: 99%
“…Additionally, even on the ground, such a sensor network could be applied to flexible monitoring of the electromagnetic environment around electrical and electronic equipment. By measuring the electromagnetic field distribution generated around such equipment under actual operating conditions, the field sources can be identified using localization techniques [8]. Such a technique would be expected to be useful in a wide range of electromagnetic compatibility scenarios.…”
Section: Resultsmentioning
confidence: 99%
“…Existing applications employing low frequency magnetic fields for localization may be divided into several main categories: geophysical applications include mineral exploration [21], search for earthquake precursors [34], underground geolocation and cave mapping [35,36]; zoological applications include revealing the hidden lives of underground animals such as badgers [37,38]; motion tracking applications include tracking of pilot helmets, virtual, and augmented reality facilities [39][40][41][42]; medical applications include pill tracing, endoscopy, magnetoencephalography (MEG), and dosage transition monitoring [43][44][45][46]; human rescue applications include localization of trapped miners [47]; navigation applications include indoor and outdoor autonomous robot navigation [48]; localization of noise sources in electrical and electronic equipment [49]; unexploded ordnance (UXO) disposal applications include location of buried objects in a conductive soil [50].…”
Section: Introductionmentioning
confidence: 99%
“…Since noise may be generated continuously from multiple locations, the conventional method of determining the direction of arrival of a single wave is not satisfactory. In one method that has been considered for dealing with this situation, multiple superimposed electromagnetic waves are detected at multiple sites, and the signals present in them are separated by eigenvalue analysis of the signal data, allowing the respective location of source to be identified [1][2][3]. However, these methods are essentially based on the analysis of a single frequency.…”
Section: Introductionmentioning
confidence: 99%