Step Size Normalization for Maximum Cross-Correntropy Algorithms 


Vol. 41,  No. 9, pp. 995-1000, Sep.  2016


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  Abstract

The maximum cross-correntropy (MCC) algorithm with a set of random symbols keeps its optimum weights undisturbed from impulsive noise unlike MSE-based algorithms and its main factor has been known to be the input magnitude controller (IMC) that adjusts the input intensity according to error power. In this paper, a normalization of the step size of the MCC algorithm by the power of IMC output is proposed. The IMC output power is tracked recursively through a single-pole low-pass filter. In the simulation under impulsive noise with two different multipath channels, the steady state MSE and convergence speed of the proposed algorithm is found to be enhanced by about 1 dB and 500 samples, respectively, compared to the conventional MCC algorithm.

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  Cite this article

[IEEE Style]

N. Kim, "Step Size Normalization for Maximum Cross-Correntropy Algorithms," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 9, pp. 995-1000, 2016. DOI: .

[ACM Style]

Namyong Kim. 2016. Step Size Normalization for Maximum Cross-Correntropy Algorithms. The Journal of Korean Institute of Communications and Information Sciences, 41, 9, (2016), 995-1000. DOI: .

[KICS Style]

Namyong Kim, "Step Size Normalization for Maximum Cross-Correntropy Algorithms," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 9, pp. 995-1000, 9. 2016.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880