NLMS A METHOD FOR OPTIMIZING A STEP-SIZE OF AN ADAPTIVE FILTER USING A FREQUENCY DOMAIN NLMS ALGORITHM AND AN APPARATUS THEREOF

摘要

A convergence factor optimization method of an adaptive filter using a frequency domain normalized least mean square (NLMS) algorithm is disclosed. The convergence factor optimization method of the adaptive filter according to an exemplary embodiment of the present disclosure may include converting an input signal divided into a plurality of frames from a time domain to a frequency domain using a discrete Fourier transform, and power of the converted input signal. Estimating a squared mean of an objective signal provided from an external device, using a power of the converted input signal, a squared mean of the target signal, a squared mean of a system error of a previous frame, and a variance of a system change amount Calculating an optimal value of a convergence factor of a current frame, an optimal value of a convergence factor of the current frame, a power of the converted input signal, a squared mean of the target signal, a squared mean of the system errors of the previous frame, and the system Calculating a root mean square of the system error of the current frame using the variance of the variation. There.