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Semi-Blind Channel Estimation with Orthogonal Superimposed Training for SISO over Doubly Selective Channel
Abstract:
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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1029-1032
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Online since:
December 2014
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© 2015 Trans Tech Publications Ltd. All Rights Reserved
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