Variable Step Size Maximum Correntropy Criteria Based Adaptive Filtering Algorithm

Authors

  • S. Radhika Faculty of Electrical and Electronics Engineering, Sathyabama University, Chennai, India
  • A. Sivabalan NEC Mobile Networks Excellence Centre, Chennai, India

Abstract

Maximum correntropy criterion (MCC) based adaptive filters are found to be robust against impulsive interference. This paper proposes a novel MCC based adaptive filter with variable step size in order to obtain improved performance in terms of both convergence rate and steady state error with robustness against impulsive interference. The optimal variable step size is obtained by minimizing the Mean Square Deviation (MSD) error from one iteration to the other. Simulation results in the context of a highly impulsive system identification scenario show that the proposed algorithm has faster convergence and lesser steady state error than the conventional MCC based adaptive filters.

Keywords:

Maximum correntropy criteria, adaptive filter, variable step size, mean square deviation

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References

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How to Cite

[1]
S. Radhika and A. Sivabalan, “Variable Step Size Maximum Correntropy Criteria Based Adaptive Filtering Algorithm”, Eng. Technol. Appl. Sci. Res., vol. 6, no. 2, pp. 923–926, Apr. 2016.

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