Notice of Violation of IEEE Publication PrinciplesA Simple Subspace-Based Blind Channel Estimation Technique for OFDM Systems

Notice of Violation of IEEE Publication Principles

"A Simple Subspace-Based Blind Channel Estimation Technique for OFDM Systems
by Shi Biao, Tang Zhen-jun, Li Xian-hua, Jiang Shi-jin, and Yu Xin-hua
in the Proceedings of the International Conference on Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007, pp.236-241, Sept. 2007

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.

This paper is a duplication of the original text from the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.

Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:

"Blind Channel Estimation for MIMO OFDM Systems via Nonredundant Linear Precoding,"
by Feifei Gao and A. Nallanathan,
in the IEEE Transactions on Signal Processing, Vol. 55, No. 2, February 2007Based on the assumption that the transmitted symbols are independent and identically distributed (i.i.d.). we develop a simple subspace-based blind channel estimation technique for orthogonal frequency-division multiplexing (OFDM) systems by utilizing nonredundant linear block precoding. A novel contribution is that the proposed method can be applied for scenarios, where the number of receive antennas is less than the number of transmit antennas, e.g., multiple-input single-output (MISO) transmissions, in which case the traditional subspace- based methods could not be applied. Further consideration that can eliminate the multidimensional ambiguity in channel estimation under multiple transmitter scenarios is also proposed. The numerical results clearly show the effectiveness of our propos- ed algorithm.