Please use this identifier to cite or link to this item: https://doi.org/10.1109/TVT.2007.895562
Title: Blind channel estimation for OFDM systems via a generalized precoding
Authors: Gao, F.
Nallanathan, A. 
Keywords: Blind channel estimation
Block precoding
Block transmissions
High-performance local area network (HIPERLAN)/2
IEEE 802.11a
Orthogonal frequency-division multiplexing (OFDM)
Stochastic Cramér-Rao bound (CRB)
Wireless communications
Issue Date: May-2007
Source: Gao, F., Nallanathan, A. (2007-05). Blind channel estimation for OFDM systems via a generalized precoding. IEEE Transactions on Vehicular Technology 56 (3) : 1155-1164. ScholarBank@NUS Repository. https://doi.org/10.1109/TVT.2007.895562
Abstract: In this paper, we consider the problem of blind channel estimation for single-input-single-output (SISO) orthogonal frequency-division multiplexing (OFDM) system via second-order statistics only. Based on the assumption that the transmitted symbols are independent and identically distributed, we develop a simple blind channel estimation technique for OFDM systems by utilizing a generalized linear nonredundant block precoding. Instead of using partial information from the signal covariance matrix, as done in previous works where a specific precoder is designed and only one column of the signal covariance matrix is exploited, our work jointly considers all the information contained in the signal covariance matrix. Compared to the popular subspace-based blind channel estimation methods, the proposed algorithm is much more computationally efficient. A design criterion of the precoders by which the performance can be improved is provided, and the closed-form stochastic Cramér-Rao bound is derived. The numerical results clearly show the effectiveness of our proposed algorithm, as well as its improvement over the existing techniques. © 2007 IEEE.
Source Title: IEEE Transactions on Vehicular Technology
URI: http://scholarbank.nus.edu.sg/handle/10635/55216
ISSN: 00189545
DOI: 10.1109/TVT.2007.895562
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