Tracking analysis and improvement of broadband kalman filter using the two-echo-path model as a rapid tunnel

Jianfeng Guo; Feiran Yang; Gerald Enrner; Jun Yang

doi:10.1109/IWAENC.2018.8521281

Tracking analysis and improvement of broadband kalman filter using the two-echo-path model as a rapid tunnel

Jianfeng Guo, Feiran Yang, Gerald Enrner, Jun Yang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

Abstract

A time-domain Kalman filter, namely the broadband Kalman filter, was proposed for acoustic system identification to bridge between the exact Kalman filter and normalized least-mean-square algorithm. The broadband Kalman filter was found to exhibit both fast convergence and robustness to noise disturbance. However, its tracking capability is degraded especially when the observation noise variance is approximated by the error variance. We present the theoretical analysis of the tracking capability of the broadband Kalman filter by resorting to its steady-state predicted system distance and corresponding step size. In addition, a two-echo-path approach is employed to improve the tracking. Simulation results agree with the theoretical prediction and demonstrated that the algorithm's reconvergence ability is significantly improved with the two-echo-path model using speech as input.

Original language	English
Title of host publication	16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	341-345
Number of pages	5
ISBN (Electronic)	9781538681510
DOIs	https://doi.org/10.1109/IWAENC.2018.8521281
Publication status	Published - Nov 2 2018
Externally published	Yes
Event	16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Tokyo, Japan Duration: Sept 17 2018 → Sept 20 2018

Publication series

Name	16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Proceedings

Conference

Conference	16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018
Country/Territory	Japan
City	Tokyo
Period	9/17/18 → 9/20/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

ASJC Scopus Subject Areas

Signal Processing
Acoustics and Ultrasonics

Keywords

Adaptive filter
Kalman filter
Steady-state solution
Tracking capability

Access to Document

10.1109/IWAENC.2018.8521281

Cite this

Guo, J., Yang, F., Enrner, G., & Yang, J. (2018). Tracking analysis and improvement of broadband kalman filter using the two-echo-path model as a rapid tunnel. In 16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Proceedings (pp. 341-345). Article 8521281 (16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWAENC.2018.8521281

Guo, Jianfeng ; Yang, Feiran ; Enrner, Gerald et al. / Tracking analysis and improvement of broadband kalman filter using the two-echo-path model as a rapid tunnel. 16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 341-345 (16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Proceedings).

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abstract = "A time-domain Kalman filter, namely the broadband Kalman filter, was proposed for acoustic system identification to bridge between the exact Kalman filter and normalized least-mean-square algorithm. The broadband Kalman filter was found to exhibit both fast convergence and robustness to noise disturbance. However, its tracking capability is degraded especially when the observation noise variance is approximated by the error variance. We present the theoretical analysis of the tracking capability of the broadband Kalman filter by resorting to its steady-state predicted system distance and corresponding step size. In addition, a two-echo-path approach is employed to improve the tracking. Simulation results agree with the theoretical prediction and demonstrated that the algorithm's reconvergence ability is significantly improved with the two-echo-path model using speech as input.",

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Guo, J, Yang, F, Enrner, G & Yang, J 2018, Tracking analysis and improvement of broadband kalman filter using the two-echo-path model as a rapid tunnel. in 16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Proceedings., 8521281, 16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 341-345, 16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018, Tokyo, Japan, 9/17/18. https://doi.org/10.1109/IWAENC.2018.8521281

Tracking analysis and improvement of broadband kalman filter using the two-echo-path model as a rapid tunnel. / Guo, Jianfeng; Yang, Feiran; Enrner, Gerald et al.
16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. p. 341-345 8521281 (16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - A time-domain Kalman filter, namely the broadband Kalman filter, was proposed for acoustic system identification to bridge between the exact Kalman filter and normalized least-mean-square algorithm. The broadband Kalman filter was found to exhibit both fast convergence and robustness to noise disturbance. However, its tracking capability is degraded especially when the observation noise variance is approximated by the error variance. We present the theoretical analysis of the tracking capability of the broadband Kalman filter by resorting to its steady-state predicted system distance and corresponding step size. In addition, a two-echo-path approach is employed to improve the tracking. Simulation results agree with the theoretical prediction and demonstrated that the algorithm's reconvergence ability is significantly improved with the two-echo-path model using speech as input.

AB - A time-domain Kalman filter, namely the broadband Kalman filter, was proposed for acoustic system identification to bridge between the exact Kalman filter and normalized least-mean-square algorithm. The broadband Kalman filter was found to exhibit both fast convergence and robustness to noise disturbance. However, its tracking capability is degraded especially when the observation noise variance is approximated by the error variance. We present the theoretical analysis of the tracking capability of the broadband Kalman filter by resorting to its steady-state predicted system distance and corresponding step size. In addition, a two-echo-path approach is employed to improve the tracking. Simulation results agree with the theoretical prediction and demonstrated that the algorithm's reconvergence ability is significantly improved with the two-echo-path model using speech as input.

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Guo J, Yang F, Enrner G, Yang J. Tracking analysis and improvement of broadband kalman filter using the two-echo-path model as a rapid tunnel. In 16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. p. 341-345. 8521281. (16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Proceedings). doi: 10.1109/IWAENC.2018.8521281

Tracking analysis and improvement of broadband kalman filter using the two-echo-path model as a rapid tunnel

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus Subject Areas

Keywords

Access to Document

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