Time-varying signal frequency estimation by VFF Kalman filtering

被引：18
|
作者：
Lee, SW [1 ]
Lim, JS [1 ]
Baek, S [1 ]
Sung, KM [1 ]
机构：
[1] Seoul Natl Univ, Sch Elect Engn, Seoul 151742, South Korea
来源：
SIGNAL PROCESSING | 1999年 / 77卷 / 03期
关键词：
variable forgetting factor; Kalman filter; frequency estimation;
D O I：
10.1016/S0165-1684(99)00085-7
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, a new algorithm is proposed for estimating a time-varying signal frequency. The proposed method introduces a variable forgetting factor (VFF) into kalman filter so that this approach does not require any predetermined forgetting factor. The proposed method is tested on two nonstationary signals. Results show that the proposed algorithm offers a more accurate estimation of signal frequency and faster convergence speed than conventtional Kalman filtering algorithm. (C) 1999 Published by Elsevier Science B.V. All rights reserved.
引用
收藏
页码：343 / 347
页数：5
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