Increasing the convergence speed of FxLMS algorithm in terms of white noise

Here we propose a modification of the FxLMS algorithm aimed to increase the convergence speed in terms of white noise. Secondary path distorts diagonality of autocorrelation matrix of white noise which causes a slower convergence of the FxLMS algorithm. Using information about the coefficients of the impulse response of secondary path, we propose the way to reduce the impact of secondary path and diagonalize the autocorrelation matrix. The simulation results confirm theoretical considerations in this paper.