Optimal Step Size for a Delayed FxLMS Algorithm applied in a Prototype of Active Noise Control System

Edgar A. Manzano; Julio Tafur

doi:10.1109/ICCA.2018.8444184

Optimal Step Size for a Delayed FxLMS Algorithm applied in a Prototype of Active Noise Control System

Edgar A. Manzano, Julio Tafur

Pontifical Catholic Univ. of Peru

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

1 Scopus citations

Abstract

High-level noise represents a risk for health, thus an important trouble to handle. For low frequency noise generally it is employing an Active Noise Control (ANC) system. ANC systems operate generating a secondary anti-noise signal according to the superposition principle. Nevertheless, anti-noise signal generation requires techniques such as Filtered-X Least Mean Square (FxLMS) adaptive control algorithm. In this paper, a Single Frequency ANC system is evaluated to obtain an optimal step size to be employed in a Delayed FxLMS Algorithm in order to improve the system time response; thus, analysis, simulations and experiments for a prototype of Single Frequency ANC system are discussed.

Original language	English
Title of host publication	2018 IEEE 14th International Conference on Control and Automation, ICCA 2018
Publisher	IEEE Computer Society
Pages	935-940
Number of pages	6
ISBN (Print)	9781538660898
DOIs	https://doi.org/10.1109/ICCA.2018.8444184
State	Published - 21 Aug 2018
Externally published	Yes
Event	14th IEEE International Conference on Control and Automation, ICCA 2018 - Anchorage, United States Duration: 12 Jun 2018 → 15 Jun 2018

Publication series

Name	IEEE International Conference on Control and Automation, ICCA
Volume	2018-June
ISSN (Print)	1948-3449
ISSN (Electronic)	1948-3457

Conference

Conference	14th IEEE International Conference on Control and Automation, ICCA 2018
Country/Territory	United States
City	Anchorage
Period	12/06/18 → 15/06/18

Access to Document

10.1109/ICCA.2018.8444184

Cite this

Manzano, E. A., & Tafur, J. (2018). Optimal Step Size for a Delayed FxLMS Algorithm applied in a Prototype of Active Noise Control System. In 2018 IEEE 14th International Conference on Control and Automation, ICCA 2018 (pp. 935-940). Article 8444184 (IEEE International Conference on Control and Automation, ICCA; Vol. 2018-June). IEEE Computer Society. https://doi.org/10.1109/ICCA.2018.8444184

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title = "Optimal Step Size for a Delayed FxLMS Algorithm applied in a Prototype of Active Noise Control System",

abstract = "High-level noise represents a risk for health, thus an important trouble to handle. For low frequency noise generally it is employing an Active Noise Control (ANC) system. ANC systems operate generating a secondary anti-noise signal according to the superposition principle. Nevertheless, anti-noise signal generation requires techniques such as Filtered-X Least Mean Square (FxLMS) adaptive control algorithm. In this paper, a Single Frequency ANC system is evaluated to obtain an optimal step size to be employed in a Delayed FxLMS Algorithm in order to improve the system time response; thus, analysis, simulations and experiments for a prototype of Single Frequency ANC system are discussed.",

author = "Manzano, {Edgar A.} and Julio Tafur",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 14th IEEE International Conference on Control and Automation, ICCA 2018 ; Conference date: 12-06-2018 Through 15-06-2018",

year = "2018",

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doi = "10.1109/ICCA.2018.8444184",

language = "English",

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Manzano, EA & Tafur, J 2018, Optimal Step Size for a Delayed FxLMS Algorithm applied in a Prototype of Active Noise Control System. in 2018 IEEE 14th International Conference on Control and Automation, ICCA 2018., 8444184, IEEE International Conference on Control and Automation, ICCA, vol. 2018-June, IEEE Computer Society, pp. 935-940, 14th IEEE International Conference on Control and Automation, ICCA 2018, Anchorage, United States, 12/06/18. https://doi.org/10.1109/ICCA.2018.8444184

Optimal Step Size for a Delayed FxLMS Algorithm applied in a Prototype of Active Noise Control System. / Manzano, Edgar A.; Tafur, Julio.
2018 IEEE 14th International Conference on Control and Automation, ICCA 2018. IEEE Computer Society, 2018. p. 935-940 8444184 (IEEE International Conference on Control and Automation, ICCA; Vol. 2018-June).

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

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N2 - High-level noise represents a risk for health, thus an important trouble to handle. For low frequency noise generally it is employing an Active Noise Control (ANC) system. ANC systems operate generating a secondary anti-noise signal according to the superposition principle. Nevertheless, anti-noise signal generation requires techniques such as Filtered-X Least Mean Square (FxLMS) adaptive control algorithm. In this paper, a Single Frequency ANC system is evaluated to obtain an optimal step size to be employed in a Delayed FxLMS Algorithm in order to improve the system time response; thus, analysis, simulations and experiments for a prototype of Single Frequency ANC system are discussed.

AB - High-level noise represents a risk for health, thus an important trouble to handle. For low frequency noise generally it is employing an Active Noise Control (ANC) system. ANC systems operate generating a secondary anti-noise signal according to the superposition principle. Nevertheless, anti-noise signal generation requires techniques such as Filtered-X Least Mean Square (FxLMS) adaptive control algorithm. In this paper, a Single Frequency ANC system is evaluated to obtain an optimal step size to be employed in a Delayed FxLMS Algorithm in order to improve the system time response; thus, analysis, simulations and experiments for a prototype of Single Frequency ANC system are discussed.

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DO - 10.1109/ICCA.2018.8444184

M3 - Conference contribution

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BT - 2018 IEEE 14th International Conference on Control and Automation, ICCA 2018

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Optimal Step Size for a Delayed FxLMS Algorithm applied in a Prototype of Active Noise Control System

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