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dc.contributor.authorNguyen, V.-
dc.contributor.authorWhite, L.-
dc.identifier.citationIEEE Signal Processing Letters, 2004; 11(7):633-636-
dc.descriptionCopyright © 2004 IEEE-
dc.description.abstractThis letter addresses the issue of joint space-time trellis decoding and channel estimation in time-varying fading channels that are spatially and temporally correlated. A recursive space-time receiver which incorporates per-survivor processing (PSP) and Kalman filtering into the Viterbi algorithm is proposed. This approach generalizes existing work to the correlated fading channel case. The channel time-evolution is modeled by a multichannel autoregressive process, and a bank of Kalman filters is used to track the channel variations. Computer simulation results show that a performance close to the maximum likelihood receiver with perfect channel state information (CSI) can be obtained. The effects of the spatial correlation on the performance of a receiver that assumes independent fading channels are examined.-
dc.description.statementofresponsibilityVan Khanh Nguyen and Langford B. White-
dc.publisherIEEE-Inst Electrical Electronics Engineers Inc-
dc.titleJoint space-time trellis decoding and channel estimation in correlated fading channels-
dc.typeJournal article-
dc.identifier.orcidWhite, L. [0000-0001-6660-0517]-
Appears in Collections:Aurora harvest 6
Electrical and Electronic Engineering publications

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