A variable forgetting factor RLS adaptive filtering algorithm

Abstract

The recursive least squares algorithm (RLS) is realized in MATLAB. Simulation results show that forgetting factor influences the algorithm convergence and stability, which will significantly affect the performance of adaptive filter. Therefore, a variable forgetting factor RLS algorithm is presented in this paper. Simulation results show that the convergence and stability of the variable forgetting factor RLS algorithm (VRLS) are superior to ordinary RLS algorithm. Finally, the RLS algorithm is applied in channel equalization in low SNR and high SNR.