一种利用范数性质的无约束盲均衡准则

doi:10.3969/j.issn.1001-2400.2014.04.022

Abstract

Abstract:

A novel unconstrained criterion for blind equalization is proposed. The algorithm is based on minimization of the difference between two norms, and does not need to impose any constraint on the equalizer coefficients, which can be realized by the batch processing method and online adaptive approach. Based on the convergence proof under the noiseless condition, we show that a perfect equalization solution is achieved at every local optimum of the function, and that the amplitude of the input signal can be recovered. The validity and good performance in terms of convergence and the steady-state error of the proposed algorithm are verified through computer simulations.

Key words: blind equalization, local convergence, vector norm, unconstrained criterion

CLC Number:

911.5

WANG Dalei;YANG Bin;WU Ying;WANG Xiuxiu. Unconstrained criterion for blind equalization using the property of the norm[J].J4, 2014, 41(4): 123-129+143.

References

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Unconstrained criterion for blind equalization using the property of the norm

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