An extended Kalman filter frequency tracker for high-noise environments

Barbara F. La Scala; Robert R. Bitmead; Barry G. Quinn

doi:10.1109/78.485940

An extended Kalman filter frequency tracker for high-noise environments

Barbara F. La Scala^*, Robert R. Bitmead, Barry G. Quinn

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

52 Citations (Scopus)

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.

Original language	English
Pages (from-to)	431-434
Number of pages	4
Journal	IEEE Transactions on Signal Processing
Volume	44
Issue number	2
DOIs	https://doi.org/10.1109/78.485940
Publication status	Published - Feb 1996
Externally published	Yes

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title = "An extended Kalman filter frequency tracker for high-noise environments",

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.",

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year = "1996",

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AU - Quinn, Barry G.

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AB - 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.

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DO - 10.1109/78.485940

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JO - IEEE Transactions on Signal Processing

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An extended Kalman filter frequency tracker for high-noise environments

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