%0 Journal Article
%A GUAN Si-hai
%A LI Zhi
%T A Modified <em>l</em><sub>0</sub>_LMS Algorithm and Its Performance Analysis
%D 2015
%R 10.13190/j.jbupt.2015.04.017
%J Journal of Beijing University of Posts and Telecommunications
%P 81-85
%V 38
%N 4
%X <p>A new variable step-size <em>l</em><sub>0</sub>_least mean square (LMS) algorithm is proposed. A step size control method and the zero attraction items reweight method based on correlation function value of the error to increase the convergence speed, and reduce the steady-state misalignment. The anti-noise performance, convergence, tracking steady state error and misadjustment of this algorithm are discussed in theoretical analysis. Finally, the algorithm is compared with <em>l</em><sub>0</sub>_LMS and I<em>l</em><sub>0</sub>_LMS in different signal-to-noise ratio. Theoretical analysis combined with experimental simulation conclusion: the algorithm can achieve better tracking speed, lower steady state error and anti-noise performance.</p>
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2015.04.017