Variable step-size affine projection algorithm for a non-stationary system

Seung Hun Kim; Jae Jin Jeong; Gyogwon Koo; Sang Woo Kim

doi:10.1109/ICDSP.2014.6900824

Variable step-size affine projection algorithm for a non-stationary system

Seung Hun Kim, Jae Jin Jeong, Gyogwon Koo, Sang Woo Kim

Division of Intelligent Robot

Pohang University of Science and Technology

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

1 Scopus citations

Abstract

Affine projection algorithm (APA) has advantages when input signals are highly correlated with each other. To improve convergence rate and steady-state mean square deviation (MSD) of the APA, the step size variation concept based on theoretical MSD has been researched. However, structurally, the APA based on theoretical MSD cannot track the system change without the reset algorithm. The problem is, the reset algorithm would not operate when the system change occurs at early iteration. To overcome this drawback, we propose the variable step size APA attaching the noise-error relation. We apply it to a recent variable step-size APA, which is the optimal step-size APA (OS-APA), then the simulation results show that the proposed APA tracks the system change well without the reset algorithm, and has similar performance compared to the OS-APA for all iterations.

Original language	English
Title of host publication	2014 19th International Conference on Digital Signal Processing, DSP 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	179-183
Number of pages	5
ISBN (Electronic)	9781479946129
DOIs	https://doi.org/10.1109/ICDSP.2014.6900824
State	Published - 2014
Event	2014 19th International Conference on Digital Signal Processing, DSP 2014 - Hong Kong, Hong Kong Duration: 20 Aug 2014 → 23 Aug 2014

Publication series

Name	International Conference on Digital Signal Processing, DSP
Volume	2014-January

Conference

Conference	2014 19th International Conference on Digital Signal Processing, DSP 2014
Country/Territory	Hong Kong
City	Hong Kong
Period	20/08/14 → 23/08/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

Adaptive filter
Mean square deviation
Reset algorithm
Tracking performance

Access to Document

10.1109/ICDSP.2014.6900824

Cite this

Kim, S. H., Jeong, J. J., Koo, G., & Kim, S. W. (2014). Variable step-size affine projection algorithm for a non-stationary system. In 2014 19th International Conference on Digital Signal Processing, DSP 2014 (pp. 179-183). Article 6900824 (International Conference on Digital Signal Processing, DSP; Vol. 2014-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDSP.2014.6900824

@inproceedings{3e5422584c54440d82db84b93858ada8,

title = "Variable step-size affine projection algorithm for a non-stationary system",

abstract = "Affine projection algorithm (APA) has advantages when input signals are highly correlated with each other. To improve convergence rate and steady-state mean square deviation (MSD) of the APA, the step size variation concept based on theoretical MSD has been researched. However, structurally, the APA based on theoretical MSD cannot track the system change without the reset algorithm. The problem is, the reset algorithm would not operate when the system change occurs at early iteration. To overcome this drawback, we propose the variable step size APA attaching the noise-error relation. We apply it to a recent variable step-size APA, which is the optimal step-size APA (OS-APA), then the simulation results show that the proposed APA tracks the system change well without the reset algorithm, and has similar performance compared to the OS-APA for all iterations.",

keywords = "Adaptive filter, Mean square deviation, Reset algorithm, Tracking performance",

author = "Kim, {Seung Hun} and Jeong, {Jae Jin} and Gyogwon Koo and Kim, {Sang Woo}",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 19th International Conference on Digital Signal Processing, DSP 2014 ; Conference date: 20-08-2014 Through 23-08-2014",

year = "2014",

doi = "10.1109/ICDSP.2014.6900824",

language = "English",

series = "International Conference on Digital Signal Processing, DSP",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "2014 19th International Conference on Digital Signal Processing, DSP 2014",

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Kim, SH, Jeong, JJ, Koo, G & Kim, SW 2014, Variable step-size affine projection algorithm for a non-stationary system. in 2014 19th International Conference on Digital Signal Processing, DSP 2014., 6900824, International Conference on Digital Signal Processing, DSP, vol. 2014-January, Institute of Electrical and Electronics Engineers Inc., pp. 179-183, 2014 19th International Conference on Digital Signal Processing, DSP 2014, Hong Kong, Hong Kong, 20/08/14. https://doi.org/10.1109/ICDSP.2014.6900824

Variable step-size affine projection algorithm for a non-stationary system. / Kim, Seung Hun; Jeong, Jae Jin; Koo, Gyogwon et al.
2014 19th International Conference on Digital Signal Processing, DSP 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 179-183 6900824 (International Conference on Digital Signal Processing, DSP; Vol. 2014-January).

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

TY - GEN

T1 - Variable step-size affine projection algorithm for a non-stationary system

AU - Kim, Seung Hun

AU - Jeong, Jae Jin

AU - Koo, Gyogwon

AU - Kim, Sang Woo

PY - 2014

Y1 - 2014

N2 - Affine projection algorithm (APA) has advantages when input signals are highly correlated with each other. To improve convergence rate and steady-state mean square deviation (MSD) of the APA, the step size variation concept based on theoretical MSD has been researched. However, structurally, the APA based on theoretical MSD cannot track the system change without the reset algorithm. The problem is, the reset algorithm would not operate when the system change occurs at early iteration. To overcome this drawback, we propose the variable step size APA attaching the noise-error relation. We apply it to a recent variable step-size APA, which is the optimal step-size APA (OS-APA), then the simulation results show that the proposed APA tracks the system change well without the reset algorithm, and has similar performance compared to the OS-APA for all iterations.

AB - Affine projection algorithm (APA) has advantages when input signals are highly correlated with each other. To improve convergence rate and steady-state mean square deviation (MSD) of the APA, the step size variation concept based on theoretical MSD has been researched. However, structurally, the APA based on theoretical MSD cannot track the system change without the reset algorithm. The problem is, the reset algorithm would not operate when the system change occurs at early iteration. To overcome this drawback, we propose the variable step size APA attaching the noise-error relation. We apply it to a recent variable step-size APA, which is the optimal step-size APA (OS-APA), then the simulation results show that the proposed APA tracks the system change well without the reset algorithm, and has similar performance compared to the OS-APA for all iterations.

KW - Adaptive filter

KW - Mean square deviation

KW - Reset algorithm

KW - Tracking performance

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M3 - Conference contribution

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ER -

Variable step-size affine projection algorithm for a non-stationary system

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Keywords

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