An extended Kalman filter frequency tracker for high-noise environments

被引：44

作者：

LaScala, BF

Bitmead, RR

Quinn, BG

机构：

[1] AUSTRALIAN NATL UNIV,DEPT SYST ENGN,COOPERAT RES CTR ROBUST & ADAPT SYST,RSISE,CANBERRA,ACT 0200,AUSTRALIA

[2] UNIV LONDON GOLDSMITHS COLL,DEPT MATH SCI,LONDON SE14 6NW,ENGLAND

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 1996年 / 44卷 / 02期

关键词：

D O I：

10.1109/78.485940

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 problem of constructing a frequency tracker for weak, narrowband signals with slowly varying frequency is considered. An extended Kalman filter is proposed that uses prior knowledge of the nature of the signal to overcome the difficulties presented by the inherent nonlinearity of the problem and the very low signal-to-noise ratios.

引用

页码：431 / 434

页数：4

共 10 条

[1]

Anderson B. D. O., 1979, OPTIMAL FILTERING

[2]

HANNAN EJ, 1979, STOCHASTIC PROCESS A, V9, P281, DOI DOI 10.1016/0304-4149(79)90050-4.

[3]

JAMES B, 1992, THESIS AUSTR NATL U

[4]

Jazwinski A.H., 2007, Stochastic Processes and Filtering Theory