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Vol. 158, Issue 11, November 2013, pp. 369-373




Improved Variable Step-Size and Variable Parameters LMS Adaptive Filtering Algorithm
Huamin GE, Weiwei ZHAO

School of Information Science & Control, Nanjing University of Information Science & Technology, Nanjing 210044, China
Tel.: 86-025-83466421, fax: 86-025-83466421
E-mail: ghm@nuist.edu.cn


Received: 1 September 2013   /Accepted: 25 October 2013   /Published: 30 November 2013

Digital Sensors and Sensor Sysstems


Abstract: In order to achieve the best filtering performance and make the filter automatically adjust its coefficients with the changing of its working environment, we need to use adaptive filter technique. To overcome the contradiction of traditional LMS algorithm between convergence speed, convergence accuracy and the selection of step-size, a novel variable step-size & variable parameters adaptive filter algorithm based on modified hyperbolic tangent function was proposed, whose theory and process were worked out and the design principle of adjusting factors were given. Theory and simulation results verified the convergence properties and superiorities of this algorithm under different circumstances.


Keywords: Adaptive filter, Variable step-size LMS algorithm, LabVIEW.



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