KALMAN ALGORITHM FREQUENCY ESTIMATOR FOR DYNAMIC DOPPLER-SHIFT ENVIRONMENTS

被引：4
|
作者：
CLAYTON, HJ
FINES, P
AGHVAMI, AH
机构：
[1] Communications Research Group, Department of Electronic and Electrical Engineering, King's College London, University of London, Strand
来源：
ELECTRONICS LETTERS | 1993年 / 29卷 / 07期
关键词：
KALMAN FILTERS; KALMAN ALGORITHMS; DOPPLER EFFECT; FREQUENCY MEASUREMENT; SYNCHRONIZATION; SATELLITE RELAY SYSTEMS;
D O I：
10.1049/el:19930400
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：
A Kalman algorithm (KA) frequency estimation scheme for digital communications systems is presented and the performance compared to a maximum likelihood frequency detector (MLFD) [1] and an extended Kalman algorithm (EKA) as a frequency estimator [2]. A fourth order Kalman filter computes the optimum operating bandwidth based on statistical information about a received signal, which in this case experiences significant Doppler shift, change in Doppler shift rate and AWGN. Such a scheme finds application in all environments that experience dynamic Doppler shift, such as transmission from non-geostationary satellites and quickly manoeuvring vehicles.
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页码：597 / 598
页数：2
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