Publication:
Cross?correlation wavelet?domain?based particle swarm optimization for lightning mapping

Simple item page
dc.contributor.authorAlammari A.en_US
dc.contributor.authorAlkahtani A.A.en_US
dc.contributor.authorAhmad M.R.en_US
dc.contributor.authorAljanad A.en_US
dc.contributor.authorNoman F.en_US
dc.contributor.authorKawasaki Z.en_US
dc.contributor.authorid57217994803en_US
dc.contributor.authorid55646765500en_US
dc.contributor.authorid16021287600en_US
dc.contributor.authorid56119134000en_US
dc.contributor.authorid55327881300en_US
dc.contributor.authorid36916954400en_US
dc.date.accessioned2023-05-29T09:06:01Z
dc.date.available2023-05-29T09:06:01Z
dc.date.issued2021
dc.description.abstractSeveral processing methods have been proposed for estimating the real pattern of the temporal location and spatial map of the lightning strikes. However, due to the complexity of lightning signals, providing accurate lightning maps estimation remains a challenging task. This paper presents a cross?correlation wavelet?domain?based particle swarm optimization (CCWD?PSO) technique for an accurate and robust representation of lightning mapping. The CCWD method provides an initial estimate of the lightning map, while the PSO attempts to optimize the trajectory of the lightning map by finding the optimal sliding window of the cross?correlation. The technique was further enhanced through the introduction of a novel lightning event extraction method that enables faster processing of the lightning mapping. The CCWD?PSO method was validated and verified using three narrow bipolar events (NBEs) flashes. The observed results demonstrate that this technique offers high accuracy in representing the real lightning mapping with low estimation errors. � 2021 by the authors. Licensee MDPI, Basel, Switzerland.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo8634
dc.identifier.doi10.3390/app11188634
dc.identifier.issue18
dc.identifier.scopus2-s2.0-85115247414
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85115247414&doi=10.3390%2fapp11188634&partnerID=40&md5=5f61d83f212b2d5da00f86b0687a9322
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26008
dc.identifier.volume11
dc.publisherMDPIen_US
dc.relation.ispartofAll Open Access, Gold
dc.sourceScopus
dc.sourcetitleApplied Sciences (Switzerland)
dc.titleCross?correlation wavelet?domain?based particle swarm optimization for lightning mappingen_US
dc.typeArticleen_US
dspace.entity.typePublication
Files
Collections
SCOPUS