Abstract
A new on-line blind equalization approach is proposed. The approach combines oversampling technique with independent component analysis (ICA) neural network and can give equalized output on-line employing only the received signal. Based on the fourth-order cumulants and the characteristic of the linear system, the parameters of original channel are also estimated using evolutionary computation (EC). Compared to traditional equalization methods, the proposed algorithm is of simple architecture, does not need learning sequences apart from the observation, and can achieve both blind equalization and system identification. Computer simulations show good performance.
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He, Z., Liu, J., Yang, L. et al. An ICA and EC based approach for blind equalization and channel parameter estimation. Sci. China Ser. E-Technol. Sci. 43, 1–8 (2000). https://doi.org/10.1007/BF02917131
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DOI: https://doi.org/10.1007/BF02917131