Joint CFO and channel estimation for OFDMA uplink: an application of the variable projection method

Authors:
Xiang Nian Zeng;Ali Ghrayeb
Affiliations:
Department of Electrical and Computer Engineering, McGill University and Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada;Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada
Venue:
IEEE Transactions on Wireless Communications
Year:
2009

Citing 2
Cited 1

Line search based iterative joint estimation of channels and frequency offsets for uplink OFDM systems

IEEE Transactions on Wireless Communications
Channel-independent synchronization of orthogonal frequency division multiple access systems

IEEE Journal on Selected Areas in Communications

Superimposed training-based joint CFO and channel estimation for CP-OFDM modulated two-way relay networks

EURASIP Journal on Wireless Communications and Networking - Special issue on physical-layer network coding for wireless cooperative networks

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Abstract

In this paper, we propose a joint carrier frequency offset (CFO) and channel estimation method for the uplink channel of orthogonal frequency division multiple access (OFDMA) systems. The proposed method includes two steps. In the first step, the variable projection (VP) method based on the least-squares (LS) criterion is used for CFO estimation. In each iteration of the VP method, the CFOs and channel coefficients are updated separately, which distinguishes the VP method from an existing non-separated minimum mean square error (MMSE) method in which the CFOs and channel coefficients are treated together as a whole [1]. In the second step, the channel is estimated by employing the robust MMSE method. The simulation results show that, compared with the nonseparated MMSE method, the proposed method has faster convergence rate in terms of CFO estimation and achieves better channel estimation performance in most of the cases. The computational complexity of the proposed scheme is also lower than that of the non-separated MMSE method for large number of users at high signal-to-noise ratios.