- Research Article
- Open Access
A Generalized Algorithm for Blind Channel Identification with Linear Redundant Precoders
EURASIP Journal on Advances in Signal Processing volume 2007, Article number: 025672 (2006)
It is well known that redundant filter bank precoders can be used for blind identification as well as equalization of FIR channels. Several algorithms have been proposed in the literature exploiting trailing zeros in the transmitter. In this paper we propose a generalized algorithm of which the previous algorithms are special cases. By carefully choosing system parameters, we can jointly optimize the system performance and computational complexity. Both time domain and frequency domain approaches of channel identification algorithms are proposed. Simulation results show that the proposed algorithm outperforms the previous ones when the parameters are optimally chosen, especially in time-varying channel environments. A new concept of generalized signal richness for vector signals is introduced of which several properties are studied.
Porat B, Friedlander B: Blind equalization of digital communication channels using high-order moments. IEEE Transactions on Signal Processing 1991,39(2):522-526. 10.1109/78.80846
Tong L, Xu G, Kailath T: Blind identification and equalization based on second-order statistics: a time domain approach. IEEE Transactions on Information Theory 1994,40(2):340-349. 10.1109/18.312157
Scaglione A, Giannakis GB, Barbarossa S: Redundant filter bank precoders and equalizers part II: blind channel estimation, synchronization, and direct equalization. IEEE Transactions on Signal Processing 1999,47(7):2007-2022. 10.1109/78.771048
Manton JH, Neumann WD: Totally blind channel identification by exploiting guard intervals. Systems and Control Letters 2003,48(2):113-119. 10.1016/S0167-6911(02)00278-5
Pham DH, Manton JH: A subspace algorithm for guard interval based channel identification and source recovery requiring just two received blocks. Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '03), April 2003, Hong Kong 4: 317–320.
Su B, Vaidyanathan PP: A generalization of deterministic algorithm for blind channel identification with filter bank precoders. Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS '06), May 2006, Kos Island, Greece
Vaidyanathan PP: Multirate Systems and Filter Banks. Prentice-Hall, Englewood Cliffs, NJ, USA; 1993.
Lin Y-P, Phoong S-M: Perfect discrete multitone modulation with optimal transceivers. IEEE Transactions on Signal Processing 2000,48(6):1702-1711. 10.1109/78.845928
Qiu W, Hua Y, Abed-Meraim K: A subspace method for the computation of the GCD of polynomials. Automatica 1997,33(4):741-743. 10.1016/S0005-1098(96)00244-0
Tong L, Xu G, Kailath T: A new approach to blind identification and equalization of multipath channels. Proceedings of the 25th Asilomar Conference on Signals, Systems, & Computers, November 1991, Pacific Grove, Calif, USA 2: 856–860.
Moulines E, Duhamel P, Cardoso J-F, Mayrargue S: Subspace methods for the blind identification of multichannel FIR filters. IEEE Transactions on Signal Processing 1995,43(2):516-525. 10.1109/78.348133
Vaidyanathan PP, Vrcelj B: A frequency domain approach for blind identification with filter bank precoders. Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS '04), May 2004, Vancouver, BC, Canada 3: 349–352.
Li Y, Ding Z: Blind channel identification based on second order cyclostationary statistics. Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '93), April 1993, Minneapolis, Minn, USA 4: 81–84.
Su B, Vaidyanathan PP: Generalized signal richness preservation problem and Vandermonde-form preserving matrices. to appear in IEEE Transactions on Signal Processing
Golub GH, Van Loan CF: Matrix Computations. 3rd edition. Johns Hopkins University Press, Baltimore, MD, USA; 1996.
About this article
Cite this article
Su, B., Vaidyanathan, P.P. A Generalized Algorithm for Blind Channel Identification with Linear Redundant Precoders. EURASIP J. Adv. Signal Process. 2007, 025672 (2006). https://doi.org/10.1155/2007/25672
- Computational Complexity
- Frequency Domain
- Generalize Signal
- System Parameter
- Quantum Information