EM-Based sequence estimation for wireless systems with orthogonal transmit diversity
dc.authorid | 0000-0001-7328-6626 | |
dc.authorid | 0000-0001-8458-4987 | |
dc.authorid | 0000-0002-8412-6684 | |
dc.contributor.author | Panayırcı, Erdal | en_US |
dc.contributor.author | Aygölü, Hasan Ümit | en_US |
dc.contributor.author | Pusane, Ali Emre | en_US |
dc.date.accessioned | 2015-07-14T23:48:27Z | |
dc.date.available | 2015-07-14T23:48:27Z | |
dc.date.issued | 2003 | |
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 | In this paper, an optimum sequence estimation algorithm for wireless systems with Alamouti's two transmitter diversity in the presence of multipath fading is proposed. The algorithm is based on a jointly iterative channel and sequence estimation according to the maximum likelihood (ML) criterion, using the Expectation-Maximization (EM) algorithm employing M-PSK modulation scheme with additive Gaussian noise. The discrete multipath channel is represented in terms of the channel gains from each transmit antenna to the receive antenna. EM algorithm derived estimates jointly the complex channel parameters of each channel And the data sequence transmitted, iteratively, which converges to the true ML solution. The channel estimation is achieved in a simple way through the iterative equations by decoupling of the signals transmitted from different antennas. The algorithm is applied to the trellis coded modulation systems and efficiency of the algorithm proposed has been shown by the computer simulations. Simulation results show that the EM algorithm converges quickly for fast fading channels. The performance of the EM-based decoder approaches that of the ML receiver which has perfect knowledge of the channel. | en_US |
dc.description.version | Publisher's Version | en_US |
dc.identifier.citation | Panayırcı, E., Aygölü, H. Ü. & Pusane, A. M. (2003). EM-Based sequence estimation for wireless systems with orthogonal transmit diversity. Paper presented at the IEEE International Conference on Communications, 5, 3210-3214. doi:10.1109/ICC.2003.1204025 | en_US |
dc.identifier.endpage | 3214 | |
dc.identifier.isbn | 0780378024 | |
dc.identifier.scopus | 2-s2.0-0037972783 | |
dc.identifier.scopusquality | N/A | |
dc.identifier.startpage | 3210 | |
dc.identifier.uri | https://hdl.handle.net/11729/670 | |
dc.identifier.uri | http://dx.doi.org/10.1109/ICC.2003.1204025 | |
dc.identifier.volume | 5 | |
dc.identifier.wos | WOS:000183802400619 | |
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 | Panayırcı, Erdal | en_US |
dc.institutionauthorid | 0000-0001-7328-6626 | |
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 International Conference on Communications | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Algorithm | en_US |
dc.subject | Codes | en_US |
dc.subject | Gaussian noise | en_US |
dc.subject | Channel estimation | en_US |
dc.subject | Diversity reception | en_US |
dc.subject | Fading channels | en_US |
dc.subject | Iterative methods | en_US |
dc.subject | Maximum likelihood sequence estimation | en_US |
dc.subject | Multipath channels | en_US |
dc.subject | Alamouti two transmitter diversity | en_US |
dc.subject | M-PSK modulation | en_US |
dc.subject | Additive Gaussian noise | en_US |
dc.subject | Channel gains | en_US |
dc.subject | Decoder | en_US |
dc.subject | Discrete multipath channel | en_US |
dc.subject | Estimates the complex channel parameters | en_US |
dc.subject | Expectation-maximization algorithm | en_US |
dc.subject | Expectation-maximization algorithm | en_US |
dc.subject | Iterative channel | en_US |
dc.subject | Maximum likelihood criterion | en_US |
dc.subject | Maximum likelihood receiver | en_US |
dc.subject | Multipath fading | en_US |
dc.subject | Optimum sequence estimation algorithm | en_US |
dc.subject | Orthogonal transmit diversity | en_US |
dc.subject | Trellis coded modulation systems | en_US |
dc.subject | Wireless systems | en_US |
dc.subject | Additive noise | en_US |
dc.subject | Fading | en_US |
dc.subject | Iterative algorithms | en_US |
dc.subject | Maximum likelihood estimation | en_US |
dc.subject | Receiving antennas | en_US |
dc.subject | Transmitters | en_US |
dc.subject | Transmitting antennas | en_US |
dc.subject | Signal processing | en_US |
dc.subject | Wireless telecommunication systems | en_US |
dc.subject | Trellis codes | en_US |
dc.subject | Gaussian noise (electronic) | en_US |
dc.title | EM-Based sequence estimation for wireless systems with orthogonal transmit diversity | en_US |
dc.type | Conference Object | en_US |
dspace.entity.type | Publication |
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