Fast blind equalization via antenna arrays
ICASSP '93 Proceedings of the Acoustics, Speech, and Signal Processing, 1993. ICASSP-93 Vol 4., 1993 IEEE International Conference on - Volume 04
Modified fuzzy c-means and Bayesian equalizer for nonlinear blind channel
Applied Soft Computing
Blind identification of MISO-FIR channels
Signal Processing
Blind identification of multichannel systems driven by impulsive signals
Digital Signal Processing
Survey Invariant representations of discrete-time periodic systems
Automatica (Journal of IFAC)
Technical Communique: Blind identifiability of IIR systems
Automatica (Journal of IFAC)
Nonlinear channel blind equalization using hybrid genetic algorithm with simulated annealing
Mathematical and Computer Modelling: An International Journal
Blind identification of non-minimum phase ARMA systems
Automatica (Journal of IFAC)
Wireless Personal Communications: An International Journal
Blind single channel identification based on signal intermittency and second-order statistics
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part II
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A new blind channel identification and equalization method is proposed that exploits the cyclostationarity of oversampled communication signals to achieve identification and equalization of possibly nonminimum phase (multipath) channels without using training signals. Unlike most adaptive blind equalization methods for which the convergence properties are often problematic, the channel estimation algorithm proposed here is asymptotically ex-set. Moreover, since it is based on second-order statistics, the new approach may achieve equalization with fewer symbols than most techniques based only on higher-order statistics. Simulations have demonstrated promising performance of the proposed algorithm for the blind equalization of a three-ray multipath channel