Automatic modulation classification for mimo systems using fourth-order cumulants
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 | Jkel, Holger U. | en_US |
dc.contributor.author | Jondral, Friedrich K. | en_US |
dc.date.accessioned | 2015-12-09T09:57:09Z | |
dc.date.available | 2015-12-09T09:57:09Z | |
dc.date.issued | 2012 | |
dc.department | Işık Üniversitesi, Mühendislik Fakültesi, Makine Mühendisliği Bölümü | en_US |
dc.department | Işık University, Faculty of Engineering, Department of Mechanical Engineering | en_US |
dc.description.abstract | Automatic classification of the modulation type of an unknown communication signal is a challenging task, with applications in both commercial and military contexts, such as spectrum surveillance, cognitive radio, and electronic warfare systems. Most of the automatic modulation classification (AMC) algorithms found in the literature assume that the signal of interest has been transmitted using a single antenna. In this paper, a novel AMC algorithm for multiple input multiple output (MIMO) signals is proposed, which employs fourth-order cumulants as features for classification. First, perfect channel state information (CSI) is assumed. Subsequently, a case of more practical relevance is considered, where the channel matrix is unknown and has to be estimated blindly by employing independent component analysis (ICA). The performance of the proposed classification algorithm is investigated through simulations and compared with an average likelihood ratio test (ALRT) which can be considered as optimum in the Bayesian sense, but has a very high computational complexity. | en_US |
dc.description.version | Publisher's Version | en_US |
dc.identifier.citation | Mühlhaus, M. S., Öner, M. M., Dobre, O. A., J̈kel, H. U. & Jondral, F. K. (2012). Automatic modulation classification for MIMO systems using fourth-order cumulants. Paper presented at the IEEE Vehicular Technology Conference, 1-5. doi:10.1109/VTCFall.2012.6399061 | en_US |
dc.identifier.doi | 10.1109/VTCFall.2012.6399061 | |
dc.identifier.endpage | 5 | |
dc.identifier.isbn | 9781467318815 | |
dc.identifier.issn | 1550-2252 | |
dc.identifier.scopus | 2-s2.0-84878908866 | |
dc.identifier.scopusquality | N/A | |
dc.identifier.startpage | 1 | |
dc.identifier.uri | https://hdl.handle.net/11729/731 | |
dc.identifier.uri | http://dx.doi.org/10.1109/VTCFall.2012.6399061 | |
dc.identifier.wos | WOS:000317009100189 | |
dc.identifier.wosquality | N/A | |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.indekslendigikaynak | Conference Proceedings Citation Index – Science (CPCI-S) | 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.publicationstatus | Published | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | IEEE Vehicular Technology Conference | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Multiple input multiple output | en_US |
dc.subject | Channel estimation | en_US |
dc.subject | Feature extraction | en_US |
dc.subject | MIMO | en_US |
dc.subject | Phase shift keying | en_US |
dc.subject | Signal to noise ratio | en_US |
dc.subject | ALRT | en_US |
dc.subject | AMC algorithms | en_US |
dc.subject | Bayesian sense | en_US |
dc.subject | CSI | en_US |
dc.subject | ICA | en_US |
dc.subject | MIMO signals | en_US |
dc.subject | MIMO systems | en_US |
dc.subject | Automatic modulation classification | en_US |
dc.subject | Average likelihood ratio test | en_US |
dc.subject | Channel matrix | en_US |
dc.subject | Channel state information | en_US |
dc.subject | Classification algorithm | en_US |
dc.subject | Cognitive radio | en_US |
dc.subject | Commercial context | en_US |
dc.subject | Computational complexity | en_US |
dc.subject | Electronic warfare systems | en_US |
dc.subject | Fourth-order cumulants | en_US |
dc.subject | Independent component analysis | en_US |
dc.subject | Military context | en_US |
dc.subject | Modulation type | en_US |
dc.subject | Multiple input multiple output signals | en_US |
dc.subject | Single antenna | en_US |
dc.subject | Spectrum surveillance | en_US |
dc.subject | Unknown communication signal | en_US |
dc.subject | Signals | en_US |
dc.subject | Matrix algebra | en_US |
dc.subject | Modulation | en_US |
dc.subject | Signal classification | en_US |
dc.subject | Bayes methods | en_US |
dc.subject | MIMO communication | en_US |
dc.subject | Antennas | en_US |
dc.subject | Blind source separation | en_US |
dc.subject | Channel estimation | en_US |
dc.subject | Communication complexity | en_US |
dc.title | Automatic modulation classification for mimo systems using fourth-order cumulants | en_US |
dc.type | Conference Object | en_US |
dspace.entity.type | Publication |