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Trans Tech Publications, Applied Mechanics and Materials, (701-702), p. 1029-1032, 2014

DOI: 10.4028/www.scientific.net/amm.701-702.1029

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Semi-Blind Channel Estimation with Orthogonal Superimposed Training for SISO over Doubly Selective Channel

Journal article published in 2014 by Cong Ying Li, Gao Ming Huang, Jun Gao, Gao Qi Dou, Chun Quan He, Yu Song Gao
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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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.