Modulation performance in Chaotic Impulsive Noise Environment

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dc.contributor.authorBotelho A.L.P.
dc.contributor.authorLopes P.B.
dc.contributor.authorOmar N.
dc.date.accessioned2024-03-12T19:20:27Z
dc.date.available2024-03-12T19:20:27Z
dc.date.issued2021
dc.description.abstract© 2021 IEEE.Propagation models predict coverage area at a given amount of time and locations. The adverse effects caused by multipath can be modeled probabilistically, but the manmade effects that appear in an impulsive way cannot be associated with a probabilistic distribution. The random and unpredictable nature of impulse noise challenges the effectiveness of modeling impulsive noise. Chaotic time series tools are presented and a new model of impulsive noise generator with chaotic waveform, duration and spacing is proposed.
dc.identifier.doi10.1109/WMCS52222.2021.9493269
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/34657
dc.relation.ispartofProceedings of the 2021 IEEE Texas Symposium on Wireless and Microwave Circuits and Systems: Making Waves in Texas, WMCS 2021
dc.rightsAcesso Restrito
dc.subject.otherlanguageChaotic communication
dc.subject.otherlanguageImpulsive Noise
dc.subject.otherlanguageQuadrature amplitude modulation
dc.subject.otherlanguageRadio propagation
dc.titleModulation performance in Chaotic Impulsive Noise Environment
dc.typeArtigo de evento
local.scopus.citations0
local.scopus.eid2-s2.0-85112031270
local.scopus.subjectAdverse effect
local.scopus.subjectChaotic time series
local.scopus.subjectChaotic waveforms
local.scopus.subjectCoverage area
local.scopus.subjectImpulsive noise environment
local.scopus.subjectMultipath
local.scopus.subjectProbabilistic distribution
local.scopus.subjectPropagation models
local.scopus.updated2024-12-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85112031270&origin=inward
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