An extended Kalman filter frequency tracker for high-noise environments

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

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Abstract

The problem of constructing 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 -30dB.
LanguageEnglish
Title of host publicationProceedings of the 7th IEEE SP workshop on statistical and array processing
Pages293-296
Number of pages4
DOIs
Publication statusPublished - 1994
Externally publishedYes
EventIEEE SP workshop on statistical and array processing (7th : 1994) - Quebec, Canada
Duration: 26 Jun 199429 Jun 1994

Conference

ConferenceIEEE SP workshop on statistical and array processing (7th : 1994)
CountryCanada
CityQuebec
Period26/06/9429/06/94

Fingerprint

Extended Kalman filters
Sonar
Signal to noise ratio
Signal processing

Cite this

La Scala, B. F., Bitmead, R. R., & Quinn, B. G. (1994). An extended Kalman filter frequency tracker for high-noise environments. In Proceedings of the 7th IEEE SP workshop on statistical and array processing (pp. 293-296) https://doi.org/10.1109/SSAP.1994.572501
La Scala, Barbara F. ; Bitmead, Robert R. ; Quinn, Barry G. / An extended Kalman filter frequency tracker for high-noise environments. Proceedings of the 7th IEEE SP workshop on statistical and array processing. 1994. pp. 293-296
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abstract = "The problem of constructing 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 -30dB.",
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La Scala, BF, Bitmead, RR & Quinn, BG 1994, An extended Kalman filter frequency tracker for high-noise environments. in Proceedings of the 7th IEEE SP workshop on statistical and array processing. pp. 293-296, IEEE SP workshop on statistical and array processing (7th : 1994), Quebec, Canada, 26/06/94. https://doi.org/10.1109/SSAP.1994.572501

An extended Kalman filter frequency tracker for high-noise environments. / La Scala, Barbara F.; Bitmead, Robert R.; Quinn, Barry G.

Proceedings of the 7th IEEE SP workshop on statistical and array processing. 1994. p. 293-296.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

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T1 - An extended Kalman filter frequency tracker for high-noise environments

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AU - Bitmead, Robert R.

AU - Quinn, Barry G.

PY - 1994

Y1 - 1994

N2 - The problem of constructing 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 -30dB.

AB - The problem of constructing 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 -30dB.

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BT - Proceedings of the 7th IEEE SP workshop on statistical and array processing

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La Scala BF, Bitmead RR, Quinn BG. An extended Kalman filter frequency tracker for high-noise environments. In Proceedings of the 7th IEEE SP workshop on statistical and array processing. 1994. p. 293-296 https://doi.org/10.1109/SSAP.1994.572501