CONDITIONAL MEAN AND MAXIMUM-LIKELIHOOD APPROACHES TO MULTIHARMONIC FREQUENCY ESTIMATION

被引:23
作者
JAMES, B [1 ]
ANDERSON, BDO [1 ]
WILLIAMSON, RC [1 ]
机构
[1] AUSTRALIAN NATL UNIV,RES SCH PHYS SCI & ENGN,DEPT SYST ENGN,CANBERRA,ACT 2600,AUSTRALIA
关键词
Kalman filtering;
D O I
10.1109/78.286953
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
The performance of an extended Kalman filter (EKF) applied to the problem of estimating the (assumed constant) parameters (fundamental frequency, harmonic phases, and amplitudes) of a complex multiharmonic signal measured in noise is shown to be asymptotically (i.e., as the number of measurements tends to infinity) efficient. The Cramer-Rao (CR) bounds associated with the estimation problem are derived for the case where the measurements commence at an arbitrary time distinct from zero.
引用
收藏
页码:1366 / 1375
页数:10
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