A New Variable Step Size LMS Adaptive Filtering Algorithm
ZHOU Ying
Abstract：The problem of step size selection for adaptive least mean squares(LMS)filtering algorithm is studied.Current al-gorithms of variable step size LMS adaptive filtering is discussed.By constructing a nonlinear function between the step factor and the error signal,a new algorithm is proposed.New algorithm which makes use of the auto-correlation function of the error signal to control the new variable step size avoids using the instantaneous error energy as a measure to sense the state of adaptation process.As a result,it is robust and can work in low SNR.The level of misadjustment is low.Due to its virtue of no memory in step control,new algorithm provides fast speed of convergence.The results of computer simulation show that new algorithm outperforms all other algorithms in both convergence speed and misadjustment.
Keywords：adaptive filteringvariable step sizeLMS algorithmconvergence speedmisadjustmenterror signalau-to-correlation functioninstantaneous error
Publication Date：2024-09-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 70-73,148 )