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A Variable Step Size of the LMS Algorithm for System Identification Thai, Nguyen Le; Son, Hoang Hai
Engineering Science Letter Vol. 3 No. 03 (2024): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/esl.v3i03.559

Abstract

The Least Mean Square (LMS) algorithm and adaptive filter techniques have been used in system identification.  However, their effectiveness may degrade due to the learning gain in the LMS algorithm is a constant. In this paper, a variable step-size learning parameter (VSSP) is proposed to improve the performance of the unknown system identification. The proposed algorithm is implemented without any offline learning phase, while faster convergence can be achieved. Moreover, the computational complexities of different methods are compared. Comparative simulation results demonstrate the validity of the proposed method.