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

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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.

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1029-1032

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December 2014

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] Saeed Abdallah, Ioannis N. Psaromiligks. Semi-Blind Channel Estimation with Superimposed Traing for OFDM-Based AF Two-Way Relaying[J]. IEEE Transactions on Wireless Communication, 2014, 13(5): 2468-2477.

DOI: 10.1109/twc.2014.031714.130348

Google Scholar

[2] Thomas Zemen, Christoph F. M. Time-Variant Channel Estimation Using Discrete Prolate Spheroidal Sequences. IEEE Transactions on Signal Processing, 2005, 53(9): 3597-5607.

DOI: 10.1109/tsp.2005.853104

Google Scholar

[3] Zheng Y R and Xiao C. Simulation models with correct statistical properties for Rayleigh fading channels[J]. IEEE Transaction on Communication, 2003, 51(6): 920-928.

DOI: 10.1109/tcomm.2003.813259

Google Scholar