An extended Kalman filter frequency tracker for high-noise environments

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

doi:10.1109/SSAP.1994.572501

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 proceeding › Conference proceeding contribution › peer-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.

Original language	English
Title of host publication	Proceedings of the 7th IEEE SP workshop on statistical and array processing
Pages	293-296
Number of pages	4
DOIs	https://doi.org/10.1109/SSAP.1994.572501
Publication status	Published - 1994
Externally published	Yes
Event	IEEE SP workshop on statistical and array processing (7th : 1994) - Quebec, Canada Duration: 26 Jun 1994 → 29 Jun 1994

Conference

Conference	IEEE SP workshop on statistical and array processing (7th : 1994)
Country/Territory	Canada
City	Quebec
Period	26/06/94 → 29/06/94

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10.1109/SSAP.1994.572501

Cite this

@inproceedings{7d08fb4a90a948098e4573840266b49b,

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

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.",

author = "\{La Scala\}, \{Barbara F.\} and Bitmead, \{Robert R.\} and Quinn, \{Barry G.\}",

year = "1994",

doi = "10.1109/SSAP.1994.572501",

language = "English",

pages = "293--296",

booktitle = "Proceedings of the 7th IEEE SP workshop on statistical and array processing",

note = "IEEE SP workshop on statistical and array processing (7th : 1994) ; Conference date: 26-06-1994 Through 29-06-1994",

}

TY - GEN

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

AU - La Scala, Barbara F.

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.

UR - https://www.scopus.com/pages/publications/85063366408

U2 - 10.1109/SSAP.1994.572501

DO - 10.1109/SSAP.1994.572501

M3 - Conference proceeding contribution

SP - 293

EP - 296

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

T2 - IEEE SP workshop on statistical and array processing (7th : 1994)

Y2 - 26 June 1994 through 29 June 1994

ER -

An extended Kalman filter frequency tracker for high-noise environments

Abstract

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