In this paper, a new algorithm is proposed for estimating a time-varying si
gnal frequency. The proposed method introduces a variable forgetting factor
(VFF) into kalman filter so that this approach does not require any predet
ermined forgetting factor. The proposed method is tested on two nonstationa
ry signals. Results show that the proposed algorithm offers a more accurate
estimation of signal frequency and faster convergence speed than conventti
onal Kalman filtering algorithm. (C) 1999 Published by Elsevier Science B.V
. All rights reserved.