Variable Step Size Maximum Correntropy Criteria Based Adaptive Filtering Algorithm

  • S. Radhika Faculty of Electrical and Electronics Engineering, Sathyabama University, Chennai, India
  • A. Sivabalan NEC Mobile Networks Excellence Centre Chennai, India
Keywords: Maximum correntropy criteria, adaptive filter, variable step size, mean square deviation

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.

Author Biographies

S. Radhika, Faculty of Electrical and Electronics Engineering, Sathyabama University, Chennai, India
Haripriya Nivas, No T3, Abiraami Towers, 8/24,Anjaneyar Koil Street, East Tambaram, Chennai-59, Tamilnadu, India
A. Sivabalan, NEC Mobile Networks Excellence Centre Chennai, India
NEC Mobile Networks Excellence Centre, Chennai, Tamil Nadu, India

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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, Feb. 2016.
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Articles

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