Please use this identifier to cite or link to this item: https://doi.org/10.1109/TWC.2008.060605
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dc.titleJoint channel and frequency offset estimation in distributed MIMO flat-fading channels
dc.contributor.authorPham, T.-H.
dc.contributor.authorNallanathan, A.
dc.contributor.authorLiang, Y.-C.
dc.date.accessioned2014-06-17T02:54:33Z
dc.date.available2014-06-17T02:54:33Z
dc.date.issued2008-02
dc.identifier.citationPham, T.-H., Nallanathan, A., Liang, Y.-C. (2008-02). Joint channel and frequency offset estimation in distributed MIMO flat-fading channels. IEEE Transactions on Wireless Communications 7 (2) : 648-656. ScholarBank@NUS Repository. https://doi.org/10.1109/TWC.2008.060605
dc.identifier.issn15361276
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/56435
dc.description.abstractIn this paper, we consider the problem of joint channel and frequency offset estimation in a flat-fading multiinput multi-output (MIMO) system. We assume that each pair of transmit and receive antennas has a different frequency offset. We present two computationally efficient iterative algorithms based on expectation conditional maximization (ECM) and space-alternating generalized expectation-maximization (SAGE) algorithms. The mean-square-error (MSE) performance of the interested parameters for the proposed algorithms is compared with the Cramér-Rao Bound (CRB). Simulation results show that the proposed iterative algorithms achieve the CEB and overcome the drawbacks of existing algorithms. © 2008 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/TWC.2008.060605
dc.sourceScopus
dc.subjectChannel estimation
dc.subjectFlat-fading channel
dc.subjectFrequency offset estimation
dc.subjectMulti-input multi-ouput (MIMO)
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/TWC.2008.060605
dc.description.sourcetitleIEEE Transactions on Wireless Communications
dc.description.volume7
dc.description.issue2
dc.description.page648-656
dc.identifier.isiut000253149900030
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