Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICC.2006.255754
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dc.titleJoint channel estimation and data detection for SIMO systems: An EM-based approach
dc.contributor.authorPham, T.-H.
dc.contributor.authorNallanathan, A.
dc.contributor.authorLiang, Y.-C.
dc.date.accessioned2014-06-19T03:15:37Z
dc.date.available2014-06-19T03:15:37Z
dc.date.issued2006
dc.identifier.citationPham, T.-H.,Nallanathan, A.,Liang, Y.-C. (2006). Joint channel estimation and data detection for SIMO systems: An EM-based approach. IEEE International Conference on Communications 9 : 4285-4290. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/ICC.2006.255754" target="_blank">https://doi.org/10.1109/ICC.2006.255754</a>
dc.identifier.isbn1424403553
dc.identifier.issn05361486
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/70735
dc.description.abstractThe single-input multi-output (SIMO) channel model is widely used in data transmission and diversity receptions. In this paper, we present three computationally efficient iterative receivers for joint channel estimation and data detection in SIMO systems. These receivers result from an application of the expectation-maximization (EM) and the space-alternating generalized expectation-maximization (SAGE) algorithms. Bit error rate (BER) performance of the Maximum Likelihood (ML) receivers with perfect channel state information (CSI) is plotted and compared with the BER performance of the proposed iterative receivers. Proposed receivers exhibit near ML performance with a few iterations. © 2006 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICC.2006.255754
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/ICC.2006.255754
dc.description.sourcetitleIEEE International Conference on Communications
dc.description.volume9
dc.description.page4285-4290
dc.identifier.isiutNOT_IN_WOS
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