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dc.contributor.authorChiong, Choo Wee Raymond
dc.contributor.authorRong, Yue
dc.contributor.authorXiang, Y.
dc.identifier.citationChiong, C. and Rong, Y. and Xiang, Y. 2015. Channel Estimation for Time-Varying MIMO Relay Systems. IEEE Transactions on Wireless Communications. [In Press].

In this paper, we investigate the channel estimation problem for multiple-input multiple-output (MIMO) relay communication systems with time-varying channels. The time-varying characteristic of the channels is described by the complexexponential basis expansion model (CE-BEM). We propose a superimposed channel training algorithm to estimate the individual first-hop and second-hop time-varying channel matrices for MIMO relay systems. In particular, the estimation of the secondhop time-varying channel matrix is performed by exploiting the superimposed training sequence at the relay node, while the first-hop time-varying channel matrix is estimated through the source node training sequence and the estimated second-hop channel. To improve the performance of channel estimation, we derive the optimal structure of the source and relay training sequences that minimize the mean-squared error (MSE) of channel estimation. We also optimize the relay amplification factor that governs the power allocation between the source and relay training sequences. Numerical simulations demonstrate that the proposed superimposed channel training algorithm for MIMO relay systems with time-varying channels outperforms the conventional two-stage channel estimation scheme.

dc.subjectsuperimposed training
dc.subjecttime-varying channel
dc.subjectMIMO relay
dc.subjectChannel estimation
dc.titleChannel Estimation for Time-Varying MIMO Relay Systems
dc.typeJournal Article
dcterms.source.titleIEEE Transactions on Wireless Communications
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusOpen access

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