Abstract
The problem of conshucting a frequency tracker for passive sonar signal processing is considered. An extended Kalman filter (EKF) observer is proposed which takes into account prior knowledge of the nature of the signal in order to overcome the difficulties presented by the inherent nonlinearity of the problem and the very low signal-to-noise ratios. Design guidelines for the EKF filter are discussed and the performance illustrated via simulation results. These simulations demonstrate the effectiveness of the filter for SNR in the range 0 to-30 dB.
Cite
CITATION STYLE
La Scala, B. F., Bitmead, R. R., & Quinn, B. G. (1994). An extended kalman filter frequency tracker for high-noise environments. In IEEE 7th SP Workshop on Statistical Signal and Array Processing, SSAP 1994 - Proceedings (pp. 293–296). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/SSAP.1994.572501
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