Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICC.2007.431
Title: Efficient training sequence for joint carrier frequency offset and channel estimation for MIMO-OFDM systems
Authors: Yan, W. 
Attallaht, S.
Bergmans, J.W.M.
Issue Date: 2007
Citation: Yan, W., Attallaht, S., Bergmans, J.W.M. (2007). Efficient training sequence for joint carrier frequency offset and channel estimation for MIMO-OFDM systems. IEEE International Conference on Communications : 2604-2609. ScholarBank@NUS Repository. https://doi.org/10.1109/ICC.2007.431
Abstract: Combining Orthogonal Frequency Division Multiplexing (OFDM) and Multiple Input and Multiple Output (MIMO) technologies enables high spectral efficiency data transmission over frequency selective fading channels. However, carrier frequency offset (CFO) and channel estimation become more complex for MIMO-OFDM systems. In this paper, we propose a class of efficient shift-orthogonal training sequences to assist joint CFO and channel estimation. We show that with the proposed training sequence, the CFO estimation touches Cramer-Rao bound (CRB) at practical SNR values. Such sequences are efficient as the overhead used for channel estimation can be significantly reduced compared to using conventional training sequence designs. We also derive a tight lower bound on the MSE of the channel estimation in the presence of the residual CFO. © 2007 IEEE.
Source Title: IEEE International Conference on Communications
URI: http://scholarbank.nus.edu.sg/handle/10635/111701
ISBN: 1424403537
ISSN: 05361486
DOI: 10.1109/ICC.2007.431
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