Spectrum Sensing for Cognitive Radio Network with Multiple Receive Antennas Under Impulsive Noise Environments

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dc.contributor.authorLee, Seungwonko
dc.contributor.authorPark, So Ryoungko
dc.contributor.authorKim, Yun Heeko
dc.contributor.authorSong, Iickhoko
dc.date.accessioned2021-07-20T00:50:06Z-
dc.date.available2021-07-20T00:50:06Z-
dc.date.created2021-06-10-
dc.date.created2021-06-10-
dc.date.created2021-06-10-
dc.date.created2021-06-10-
dc.date.issued2021-06-
dc.identifier.citationJOURNAL OF COMMUNICATIONS AND NETWORKS, v.23, no.3, pp.171 - 179-
dc.identifier.issn1229-2370-
dc.identifier.urihttp://hdl.handle.net/10203/286770-
dc.description.abstractSpectrum sensing with multiple receive antennas is addressed in the cognitive radio network under impulsive noise environments. Based on order statistics, we propose a non-linear combining scheme to cope with the heavy-tail characteristics of theprobability density function of impulsive noise. Through computer simulations, it is shown that the proposed scheme exhibits better detection performance than the conventional schemes in impulsive noise environments with Rayleigh fading.-
dc.languageEnglish-
dc.publisherKOREAN INST COMMUNICATIONS SCIENCES (K I C S)-
dc.titleSpectrum Sensing for Cognitive Radio Network with Multiple Receive Antennas Under Impulsive Noise Environments-
dc.typeArticle-
dc.identifier.wosid000668424100002-
dc.type.rimsART-
dc.citation.volume23-
dc.citation.issue3-
dc.citation.beginningpage171-
dc.citation.endingpage179-
dc.citation.publicationnameJOURNAL OF COMMUNICATIONS AND NETWORKS-
dc.identifier.doi10.23919/jcn.2021.000016-
dc.identifier.kciidART002737212-
dc.contributor.localauthorSong, Iickho-
dc.contributor.nonIdAuthorLee, Seungwon-
dc.contributor.nonIdAuthorPark, So Ryoung-
dc.contributor.nonIdAuthorKim, Yun Hee-
dc.description.isOpenAccessY-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorCognitive radio-
dc.subject.keywordAuthorimpulsive noise-
dc.subject.keywordAuthornon-linear scheme-
dc.subject.keywordAuthororder statistics-
dc.subject.keywordAuthorspectrum sensing-
dc.subject.keywordPlusDETECTORS-
dc.subject.keywordPlusROBUST-
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