An Improved Variable Step LMS Algorithm
نویسندگان
چکیده
In this paper we discuss how to improve the behavior of the Variable Step-Size LMS (VSSLMS) algorithm that was proposed in [6]. In many practical applications from the field of system identification, an estimation of the noise variance is available. Therefore we introduce a modified VS-LMS algorithm that exploits this informations in order to provide a faster convergence speed. In this paper the speed convergence and steady-state error performance of the new algorithm are analyzed. The experimental results show that the new algorithm outperforms the LMS and VSSLMS algorithms. Key-Words: adaptive filter, variable step-size, system identification, LMS, variable step LMS
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