Please use this identifier to cite or link to this item: http://dspace2020.uniten.edu.my:8080/handle/123456789/20786
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dc.contributor.authorAlammari A.en_US
dc.contributor.authorAlkahtani A.A.en_US
dc.contributor.authorAhmad M.R.en_US
dc.contributor.authorNoman F.M.en_US
dc.contributor.authorMohd Esa M.R.en_US
dc.contributor.authorKawasaki Z.en_US
dc.contributor.authorTiong S.K.en_US
dc.date.accessioned2021-08-02T00:39:31Z-
dc.date.available2021-08-02T00:39:31Z-
dc.date.issued2020-
dc.identifier.urihttp://dspace2020.uniten.edu.my:8080/handle/123456789/20786-
dc.description.abstractDespite the significant progress in the understanding of the phenomenon of lightning and the physics behind it, locating and mapping its occurrence remain a challenge. Such localization and mapping of very high frequency (VHF) lightning radiation sources provide a foundation for the subsequent research on predicting lightning, saving lives, and protecting valuable assets. A major technical challenge in attempting to map the sources of lightning is mapping accuracy. The three common electromagnetic radio frequencybased lightning locating techniques are magnetic direction finder, time of arrival, and interferometer (ITF). Understanding these approaches requires critically reviewing previous attempts. The performance and reliability of each method are evaluated on the basis of the mapping accuracy obtained from lightning data from different sources. In this work, we review various methods for lightning mapping. We study the approaches, describe their techniques, analyze their merits and demerits, classify them, and derive few opportunities for further research. We find that the ITF system is the most effective method and that its performance may be improved further. One approach is to improve how lightning signals are preprocessed and how noise is filtered. Signal processing can also be utilized to improve mapping accuracy by introducing methods such as wavelet transform in place of conventional cross-correlation approaches. © 2020 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.en_US
dc.language.isoenen_US
dc.titleLightning mapping: Techniques, challenges, and opportunitiesen_US
dc.typearticleen_US
item.cerifentitytypePublications-
item.languageiso639-1en-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextreserved-
item.openairetypearticle-
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