Blind Channel Estimation for Non-CP OFDM Systems Using Multiple Receive Antennas

The orthogonal frequency division multiplexing (OFDM) transmission scheme equipped with multiple receive antennas increases robustness against frequency-selective fading and combats loss in SNR. Based on the multichannel signaling property, this letter develops a frequency-domain blind channel estimator for OFDM systems without cyclic prefix (CP). With high data efficiency and low computational complexity, the proposed algorithm is able to identify the channels using a single received OFDM data block. Numerical simulations show that the proposed method performs satisfactorily with only one or very few received OFDM blocks, as compared to the existing subspace-based methods which require many more data records.

[1]  Hao Wang,et al.  Data-efficient blind OFDM channel estimation using receiver diversity , 2003, IEEE Trans. Signal Process..

[2]  Jung-Lang Yu Channel estimation for SIMO OFDM systems without cyclic prefix , 2007 .

[3]  T. Kailath,et al.  A least-squares approach to blind channel identification , 1995, IEEE Trans. Signal Process..

[4]  M. Ahmadi,et al.  Blind Channel Identification and Data Detection for SIMO OFDM Systems , 2007, 2007 Canadian Conference on Electrical and Computer Engineering.

[6]  M. Sondhi,et al.  On the evaluation of estimated impulse responses , 1998, IEEE Signal Processing Letters.

[7]  Eric Moulines,et al.  Subspace methods for the blind identification of multichannel FIR filters , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

[8]  Robert H. Halstead,et al.  Matrix Computations , 2011, Encyclopedia of Parallel Computing.

[9]  Sumit Roy,et al.  A subspace blind channel estimation method for OFDM systems without cyclic prefix , 2001, IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211).

[10]  John M. Cioffi,et al.  Receive diversity for mobile OFDM systems , 2000, 2000 IEEE Wireless Communications and Networking Conference. Conference Record (Cat. No.00TH8540).

[11]  John G. Proakis,et al.  Digital Signal Processing: Principles, Algorithms, and Applications , 1992 .

[12]  Jonathan H. Manton,et al.  A SOS subspace method for blind channel identification and equalization in bandwidth efficient OFDM systems based on receive antenna diversity , 2001, Proceedings of the 11th IEEE Signal Processing Workshop on Statistical Signal Processing (Cat. No.01TH8563).

[13]  L. Tong,et al.  Multichannel blind identification: from subspace to maximum likelihood methods , 1998, Proc. IEEE.

[14]  Lizhong Zheng,et al.  Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels , 2003, IEEE Trans. Inf. Theory.

[15]  Gene H. Golub,et al.  Matrix computations (3rd ed.) , 1996 .

[16]  Zhiyong Bu,et al.  Blind channel identification in SIMO-OFDM systems , 2004, 2004 International Conference on Communications, Circuits and Systems (IEEE Cat. No.04EX914).