An extended Kalman filter frequency tracker for high-noiseenvironments

Authors:
B.F. La Scala;R.R. Bitmead;B.G. Quinn
Affiliations:
Dept. of Electr. Eng., Melbourne Univ., Parkville, Vic.;-;-
Venue:
IEEE Transactions on Signal Processing
Year:
1996

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Abstract

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