2013
DOI: 10.1186/1687-1499-2013-140
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Channel estimation and optimal training with the LMMSE criterion for OFDM-based two-way relay networks

Abstract: In this paper, we consider the linear minimum mean square error (LMMSE) estimation of channel for the two-way relay network employing analog network coding and orthogonal frequency division multiplexing. The channel responses required for self-interference cancelation and coherent detection are estimated in the time domain with the preamble. We derive the optimal training condition for minimizing the mean square error (MSE) of the LMMSE estimator and obtain the corresponding MSE. It is observed that the LMMSE … Show more

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Cited by 7 publications
(2 citation statements)
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References 27 publications
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“…From (14), it can be rewritten in a matrix form, where † B denotes the Moore-Penrose pseudo inverse matrix of B [9]. By using (17), all users' CIRs can be estimated all together at the BS.…”
Section: Proposal Of Time Domain Channel Estimation Methodsmentioning
confidence: 99%
“…From (14), it can be rewritten in a matrix form, where † B denotes the Moore-Penrose pseudo inverse matrix of B [9]. By using (17), all users' CIRs can be estimated all together at the BS.…”
Section: Proposal Of Time Domain Channel Estimation Methodsmentioning
confidence: 99%
“…In [8], the pilot allocation that maximizes the capacity for a MMSE channel estimator is shown to also correspond to equipowered, equispaced pilots. In [9], the authors derive the MSE-optimal training condition for the MMSE estimator in the context of a two-way relay OFDM-based network.…”
Section: Introductionmentioning
confidence: 99%