A dual-mode hybrid blind equalization algorithm based on error function
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    Abstract:

    On account of the characteristics of the statistic and instantaneous amount of blind equalization algorithm,this paper proposes a new dual-mode hybrid blind equalization algorithm based on error function by analyzing dual-mode algorithm.Concentrating on characteristics of Modified Constant Modulus Algorithm (MCMA) and Decision Directed (DD) algorithm and using correlation between the two algorithms' error function,this paper finds a new way to select weighting factor,which can control the weight ratio of the two algorithms in the dual-mode dynamically and choose the time to switch accurately.The algorithm can switch back to the right proportion even in error of judgment,due to its dynamic characteristics.The underwater acoustic channel simulation experiment illustrates the superiority of the algorithm in convergence rate.

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ZHANG Yanping, JI Lei. A dual-mode hybrid blind equalization algorithm based on error function[J]. Journal of Nanjing University of Information Science & Technology,2013,5(3):262-266

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  • Received:March 27,2012
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