A Fast Blind Channel Estimation Method For ZP-OFDM Systems

We develop an adaptive blind channel estimation method for an OFDM system using zero padding based on the minimum noise subspace. By applying the gradient method, a new adaptive algorithm is derived that have a number of attractive properties such as low computational complexity and good numerical stability. We extend the idea of spatial diversity for the proposed system to obtain high performance in the presence of additive channel noise. A suitable pre-FFT zero-forcing linear equalizer is also proposed. It is shown that the proposed method is computationally more efficient than existing systems and is consider as a powerful tools for the spatial diversity

[1]  Arnaud Doucet,et al.  Blind SOS subspace channel estimation and equalization techniques exploiting spatial diversity in OFDM systems , 2004, Digit. Signal Process..

[2]  Desmond C. McLernon,et al.  A Novel Blind Channel Identification and Equalisation Algorithm Based on Maximum Likelihood , 1998, Wirel. Pers. Commun..

[3]  Georgios B. Giannakis,et al.  Wireless multicarrier communications , 2000, IEEE Signal Process. Mag..

[4]  Karim Abed-Meraim,et al.  Low-cost adaptive algorithm for noise subspace estimation , 2002 .

[5]  Lang Tong,et al.  Blind identification and equalization based on second-order statistics: a time domain approach , 1994, IEEE Trans. Inf. Theory.

[6]  Claude Berrou,et al.  Coded orthogonal frequency division multiplex [TV broadcasting] , 1995, Proc. IEEE.

[7]  Hui Liu,et al.  Recent developments in blind channel equalization: From cyclostationarity to subspaces , 1996, Signal Process..

[8]  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.

[9]  Georgios B. Giannakis,et al.  Cyclic prefixing or zero padding for wireless multicarrier transmissions? , 2002, IEEE Trans. Commun..

[10]  K. Abed-Meraim,et al.  Fast algorithms for subspace tracking , 2001, IEEE Signal Processing Letters.

[11]  Yingbo Hua,et al.  Fast maximum likelihood for blind identification of multiple FIR channels , 1996, IEEE Trans. Signal Process..

[12]  G. Giannakis,et al.  Wireless Multicarrier Communications where Fourier Meets , 2022 .

[13]  Karim Abed-Meraim,et al.  Blind system identification using minimum noise subspace , 1996, Proceedings of 8th Workshop on Statistical Signal and Array Processing.

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

[15]  Hikmet Sari,et al.  Transmission Techniques for Digital Terrestrial TV Broadcasting The authors discuss the potential of OFDM signaling, with its limitations and inherent problems, as well as another potential technique that has so far been overlooked: single-carrier transmission with frequency-domain equalization. , 1995 .

[16]  Raf Vandebril,et al.  A fast algorithm for subspace tracking , 2005 .