Advanced Features Generation Algorithm for MPSK and MQAM Classification in Flat Fading Channel

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dc.contributor.authorKadoun, Iyad
dc.contributor.authorKhaleghi Bizaki, Hossein
dc.coverage.issue1cs
dc.coverage.volume31cs
dc.date.accessioned2022-04-29T07:44:21Z
dc.date.available2022-04-29T07:44:21Z
dc.date.issued2022-04cs
dc.description.abstractThe Automatic Modulation Classification (AMC) performance depends on the selected features. Conventionally, Higher-Order Cumulants (HOCs) are the well-known features due to their discrimination ability under different channel conditions. HOCs have good performance under the Additive white Gaussian noise (AWGN) channel, but their performance degrades under fading channel. This paper proposes an Advanced Features Generation Algorithm (AFGA) that generates mathematical forms of new features based on the maximum discrimination between the digital modulation types to overcome this performance limitation. These features have similar complexity to HOCs but better performance accuracy. The simulation results show that the proposed AFGA improves the performance accuracy up to 4.5% for a Signal-to-noise ratio (SNR) value of 10 dB under fading channel conditions with respect to conventional methods.en
dc.formattextcs
dc.format.extent127-134cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2022 vol. 31, č. 1, s. 127-134. ISSN 1210-2512cs
dc.identifier.doi10.13164/re.2022.0127en
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/204140
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttps://www.radioeng.cz/fulltexts/2022/22_01_0127_0134.pdfcs
dc.rightsCreative Commons Attribution 4.0 International licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectAutomatic modulation classificationen
dc.subjectFeature Selection Algorithms (FSA)en
dc.subjecthigher-order cumulantsen
dc.subjectMahalanobis distance (MD)en
dc.titleAdvanced Features Generation Algorithm for MPSK and MQAM Classification in Flat Fading Channelen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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