Semi-Blind Channel Estimation with Orthogonal Superimposed Training for SISO over Doubly Selective Channel
2014 ◽
Vol 701-702
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pp. 1029-1032
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In this paper, a semi-blind estimator based on orthogonal superimposed training (OST) for the case of doubly selecting fading channel is proposed. With the aid of OST, the interference to channel estimation form data symbols can be eliminated completely. Moreover, data symbols can serve as pseudo-pilots to enhance the estimation performance. Simulation results illustrate the benefits of pseudo-pilots method.
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2004 ◽
Vol 52
(3)
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pp. 774-785
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2006 ◽
Vol 2006
(1)
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2012 ◽
Vol 2012
(1)
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