Title :
Kalman algorithm frequency estimator for dynamic Doppler shift environments
Author :
Clayton, H.J. ; Fines, P. ; Aghvami, Hamid
Author_Institution :
Dept. of Electron. & Electr. Eng., Kings Coll., London, UK
fDate :
4/1/1993 12:00:00 AM
Abstract :
A Kalman algorithm (KA) frequency estimation scheme for digital communications systems is presented and the performance compared to a maximum likelihood frequency detector (MLFD) and an extended Kalman algorithm (EKA) as a frequency estimator. 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.
Keywords :
Doppler effect; Kalman filters; digital radio systems; filtering and prediction theory; matrix algebra; mobile radio systems; parameter estimation; satellite relay systems; signal processing; synchronisation; AWGN; Kalman algorithm; digital communications systems; digital demodulator; dynamic Doppler shift environments; fourth order Kalman filter; frequency estimator; manoeuvring vehicles; nongeostationary satellite systems; optimum operating bandwidth; state transition matrix;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19930400
