A low complexity modulation classification algorithm for MIMO systems
dc.authorid | 0000-0001-7797-8339 | |
dc.authorid | 0000-0001-8528-0512 | |
dc.contributor.author | Mühlhaus, Michael S. | en_US |
dc.contributor.author | Öner, Mustafa Mengüç | en_US |
dc.contributor.author | Dobre, Octavia Adina | en_US |
dc.contributor.author | Jondral, Friedrich K. | en_US |
dc.date.accessioned | 2015-01-15T23:02:16Z | |
dc.date.available | 2015-01-15T23:02:16Z | |
dc.date.issued | 2013-10 | |
dc.department | Işık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
dc.department | Işık University, Faculty of Engineering, Department of Electrical-Electronics Engineering | en_US |
dc.description.abstract | A novel algorithm is proposed for automatic modulation classification in multiple-input multiple-output spatial multiplexing systems, which employs fourth-order cumulants of the estimated transmit signal streams as discriminating features and a likelihood ratio test (LRT) for decision making. The asymptotic likelihood function of the estimated feature vector is analytically derived and used with the LRT. Hence, the algorithm can be considered as asymptotically optimal for the employed feature vector when the channel matrix and noise variance are known. Both the case with perfect channel knowledge and the practically more relevant case with blind channel estimation are considered. The results show that the proposed algorithm provides a good classification performance while exhibiting a significantly lower computational complexity when compared with conventional algorithms. | en_US |
dc.description.sponsorship | This work was supported by the Karlsruhe House of Young Scientists (KHYS), the TUBITAK (The Scientific and Technological Research Council of Turkey) grant no. 112E020, and the Natural Sciences and Engineering Research Council of Canada (NSERC) | en_US |
dc.description.version | Publisher's Version | en_US |
dc.description.version | Author Post Print | en_US |
dc.identifier.citation | Muhlhaus, M. S., Öner, M. M., Dobre, O. A. & Jondral, F. K. (2013). A low complexity modulation classification algorithm for MIMO systems. IEEE Communications Letters, 17(10), 1881-1884. doi:10.1109/LCOMM.2013.091113.130975 | en_US |
dc.identifier.doi | 10.1109/LCOMM.2013.091113.130975 | |
dc.identifier.endpage | 1884 | |
dc.identifier.issn | 1089-7798 | |
dc.identifier.issn | 1558-2558 | |
dc.identifier.issue | 10 | |
dc.identifier.scopus | 2-s2.0-84887996620 | |
dc.identifier.scopusquality | Q1 | |
dc.identifier.startpage | 1881 | |
dc.identifier.uri | https://hdl.handle.net/11729/475 | |
dc.identifier.uri | http://dx.doi.org/10.1109/LCOMM.2013.091113.130975 | |
dc.identifier.volume | 17 | |
dc.identifier.wos | WOS:000326734400003 | |
dc.identifier.wosquality | Q2 | |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.indekslendigikaynak | Science Citation Index Expanded (SCI-EXPANDED) | en_US |
dc.institutionauthor | Öner, Mustafa Mengüç | en_US |
dc.institutionauthorid | 0000-0001-7797-8339 | |
dc.language.iso | en | en_US |
dc.peerreviewed | Yes | en_US |
dc.peerreviewed | Published | en_US |
dc.publisher | IEEE-INST Electrical Electronics Engineers Inc | en_US |
dc.relation.ispartof | IEEE Communications Letters | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Automatic modulation classification | en_US |
dc.subject | Multiple-input multiple-output | en_US |
dc.subject | Fourth-order cumulant | en_US |
dc.subject | Blind equalizers | en_US |
dc.subject | Channel estimation | en_US |
dc.subject | MIMO | en_US |
dc.subject | Modulation | en_US |
dc.subject | Signal to noise ratio | en_US |
dc.subject | Vectors | en_US |
dc.subject | LRT | en_US |
dc.subject | MIMO systems | en_US |
dc.subject | Asymptotic likelihood function | en_US |
dc.subject | Blind channel estimation | en_US |
dc.subject | Channel matrix | en_US |
dc.subject | Computational complexity | en_US |
dc.subject | Decision making | en_US |
dc.subject | Discriminating features | en_US |
dc.subject | Estimated feature vector | en_US |
dc.subject | Estimated transmit signal stream | en_US |
dc.subject | Likelihood ratio test | en_US |
dc.subject | Low complexity modulation classification | en_US |
dc.subject | Noise variance | en_US |
dc.subject | Perfect channel knowledge | en_US |
dc.subject | Spatial multiplexing systems | en_US |
dc.subject | MIMO communication | en_US |
dc.subject | Space division multiplexing | en_US |
dc.title | A low complexity modulation classification algorithm for MIMO systems | en_US |
dc.type | Article | en_US |
dspace.entity.type | Publication |