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Kalman algorithm frequency estimator for dynamic Doppler shift environments

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3 Author(s)
Clayton, H.J. ; Dept. of Electron. & Electr. Eng., Kings Coll., London, UK ; Fines, P. ; Aghvami, A.H.

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.

Published in:

Electronics Letters  (Volume:29 ,  Issue: 7 )