A New Variable-Step LMS Algorithm Based on the Convergence Ratio of Mean-Square Error(MSE)

  • Authors:

  • Hong Wan;Guangting Li;Xianming Wang;Chai Jing

  • Affiliations:

  • School of Electrical Engineering, Zhengzhou University, Zhengzhou, China 450001;School of Electrical Engineering, Zhengzhou University, Zhengzhou, China 450001;School of Electrical Engineering, Zhengzhou University, Zhengzhou, China 450001;School of Electrical Engineering, Zhengzhou University, Zhengzhou, China 450001

  • Venue:
  • ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
  • Year:
  • 2008

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Abstract

A new variable step-size(VSS) LMS adaptive algorithm based on the convergence ratio of MSE and the correlation between reference signal and output error is proposed in the paper. Theory analyzing and simulation results prove that the new algorithm improves the convergent speed of general LMS algorithm and optimizes the trace ability of time-varying system and stable state maladjustment; and comparing to the standard LMS algorithm, the increase of computation is finite.