Title :
A variable-step LMS based on tap weight time variation
Author :
Arnao, M.A. ; Rao, S.S.
Author_Institution :
Dept. of Electr. Eng., Villanova Univ., PA, USA
Abstract :
A promising method is introduced for adjusting the LMS (least-mean-square) step size μ, based on the time variation of the tap weights. This method belongs to the class of diagonal step-matrix algorithms: a separate μ is used for each tap weight. Computer simulations are presented for a self-tuning filter configuration operating on a sine wave of abruptly changing frequency in Gaussian white noise. It is shown that the algorithm can converge quickly, with small error after convergence
Keywords :
adaptive filters; filtering and prediction theory; least squares approximations; Gaussian white noise; abruptly changing frequency; diagonal step-matrix algorithms; least mean square step size; self-tuning filter configuration; sine wave; tap weight time variation; variable-step LMS; Computer errors; Computer simulation; Convergence; Equations; Error correction; Filters; Frequency; Frequency estimation; Least squares approximation; Vectors; White noise;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
DOI :
10.1109/ICASSP.1990.115670
